CN114664432A - Intelligent analysis system for industry big data - Google Patents

Intelligent analysis system for industry big data Download PDF

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Publication number
CN114664432A
CN114664432A CN202210260033.4A CN202210260033A CN114664432A CN 114664432 A CN114664432 A CN 114664432A CN 202210260033 A CN202210260033 A CN 202210260033A CN 114664432 A CN114664432 A CN 114664432A
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analysis
medical information
user
information
unit
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CN114664432B (en
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薛敏
郑楠
胡彭
于浩
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Nanjing Debbies Network Technology Co ltd
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Nanjing Debbies Network Technology Co ltd
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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
    • G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
    • G06F21/6245—Protecting personal data, e.g. for financial or medical purposes

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Abstract

The application provides an industry big data oriented intelligent analysis system. The analysis system comprises a block chain, a receiving unit, a sending unit and a evidence storing unit. The blockchain includes analytics intelligent contracts. The receiving unit receives medical information provided by a first user and invokes the analysis intelligent contract to generate an analysis event. The sending unit sends the analysis events to a plurality of second users, so that the second users analyze the medical information to obtain analysis result information, and second virtual resources are transferred to the second users through the analysis intelligent contracts. The evidence storing unit calls the analysis intelligent contract, stores the medical information under the condition that the medical information is determined to have reliability, and stores the first virtual resource transferred to the first user. Therefore, the positivity of the first user and the second user for providing the medical information can be improved, and the reliability of the medical information can be improved.

Description

Intelligent analysis system for industry big data
Technical Field
The application relates to a computer technology, in particular to an industry big data oriented intelligent analysis system.
Background
Some diseases can be realized through self-service medical treatment, time and labor are saved, and medical resources are released. Realizing self-service medical treatment requires a large amount of reliable industry data as support. Wherein the industry data may be medical information.
At present, the positivity of providing medical information by users is generally not high, and the collected medical information is mixed with fish and dragon, and the reliability is not high.
Disclosure of Invention
In view of this, the present application discloses an industry big data oriented intelligent analysis system. The analysis system comprises a block chain, a receiving unit, a sending unit and a evidence storing unit, wherein the receiving unit, the sending unit and the evidence storing unit are connected with the block chain; the block chain comprises block chain nodes which are identified in advance and an analysis intelligent contract used for analyzing data; the block chain node is used for realizing interaction between the receiving unit, the analyzing unit, the sending unit and the evidence storing unit and the block chain respectively. The receiving unit is used for receiving medical information provided by a first user client, responding to the received medical information, constructing an intelligent contract calling transaction, calling the analysis intelligent contract and generating an analysis event; wherein the medical information comprises condition information and corresponding diagnostic information; the sending unit is used for acquiring the analysis event and sending the analysis event to a plurality of second user clients which are authenticated in advance so as to enable the plurality of second users to respond to the analysis event and analyze the medical information to obtain analysis result information and call the analysis intelligent contract, and second virtual resources with the quota corresponding to the analysis are transferred to second contract accounts corresponding to the plurality of second users respectively; the evidence storing unit is used for obtaining the analysis result information fed back by the plurality of second users, calling the analysis intelligent contracts, determining the number of the second users with reliability of the medical information according to the analysis result information, storing the medical information and the analysis result information aiming at the medical information to the block chain when the number reaches a first threshold value, and transferring a first virtual resource of a limit corresponding to the medical information to a first contract account corresponding to the first user.
In some embodiments, the first user signs the medical information with its corresponding private key; the receiving unit is used for: and verifying and signing the medical information by using the public key corresponding to the first user, and constructing an intelligent contract calling transaction under the condition that the verification is passed.
In some embodiments, the first user client is a previously authenticated trusted client; the analysis system further comprises an encryption unit deployed at the first user client; the encryption unit is used for responding to the received medical information and sending reminding information to the first user so that the first user can upload a target image for generating a secret key in response to the reminding information; receiving the target image, and performing random quantity sliding in a preset sliding direction according to a preset step length by using a sliding frame with a preset size; generating a key based on the pixel value of a first pixel point included in the sliding frame after the sliding is finished; encrypting the medical information based on the key.
In some embodiments, the analysis event comprises the random number, the target image, and the encrypted medical information; the second user client is a trusted client which is verified in advance; the analysis system further comprises a decryption unit deployed at the second user client; the decryption unit is configured to: after the analysis event is obtained, analyzing the analysis event to obtain the random number, the target image and the encrypted medical information; performing the random number of sliding on the target image by the sliding frame with the preset size in the same sliding mode as the encryption unit; generating a key based on the pixel value of a second pixel point included in the sliding frame after the sliding is finished; decrypting the medical information based on the secret key to obtain decrypted medical information; and analyzing the decrypted medical information.
In some embodiments, the intelligent contract is configured to publish the generated analysis event to the blockchain after generating the analysis event; the sending unit is configured to: monitoring event information issued in the block chain, and sending the medical information to the plurality of second user clients under the condition that the analysis event is monitored, so that the plurality of second users analyze the received medical information.
In some embodiments, candidate user clients corresponding to a plurality of candidate users are connected with the sending unit; the sending unit is configured to: after the analysis event is acquired, the medical information is sent to the candidate user clients, so that the candidate users can analyze the received medical information.
In some embodiments, the blockchain further comprises a first alteration unit to: according to the analysis result information, the analysis accuracy of each second user and each candidate user is counted; respectively sequencing the second user and the candidate users according to the analysis accuracy at regular intervals; and carrying out identity interchange on the N second users with the later analysis accuracy sequence and the N candidate users with the earlier analysis accuracy sequence.
In some embodiments, the blockchain further comprises a second alteration unit for: according to the analysis result information, the analysis accuracy of each candidate user of each second user is counted; mixing and sequencing the second user and the candidate users according to the analysis accuracy rate at regular intervals; and determining M users with the highest analysis accuracy as second users and determining the rest users as candidate users.
In some embodiments, the second user client analyzes the received medical information, including: the second user client extracts the disease information and the diagnosis information included in the medical information by using an OCR technology; analyzing whether the disease information is matched with the diagnosis information or not according to the disease information; and determining that the medical information is reliable in the case that the disease information is matched with the diagnosis information.
In some embodiments, the receiving unit, the sending unit, and the evidence storing unit are all deployed on a BaaS platform.
In the foregoing solution, firstly, an analysis intelligent contract may be used to drive a collection process of medical information, so that on one hand, each link of the collection process is automatically executed, and rights and interests of a medical information provider (a first user) and an analyst (a second user) are guaranteed; on the other hand, the collection process can be supervised, and the reliability of medical information is improved.
Secondly, after medical information provided by a first user is received, a second user which is authenticated in advance is used for analyzing and verifying the medical information, and when the number of the second users which think that the medical information has reliability is obtained as a first threshold value, the medical information is stored and verified, so that the reliability of the medical information is improved.
Thirdly, by using the analysis intelligent contract, on one hand, after a second user client analyzes medical information, second virtual resources are allocated to a second contract account corresponding to a second user section; on the other hand, under the condition that the medical information provided by the first user is determined to have reliability, the first virtual resource can be allocated to the first contract account corresponding to the first user client, so that the rights and interests of the first user are guaranteed; the two aspects can improve the participation enthusiasm of the first user and the second user, and further help to collect more medical information.
Fourthly, the real reliability of the medical information stored with the certificate is improved by utilizing the characteristic that the block chain cannot be tampered, and further the realization of self-service medical treatment is promoted.
Drawings
The drawings that will be used in the description of the embodiments or the related art will be briefly described below.
FIG. 1 is a schematic diagram of an analysis system according to an embodiment of the present disclosure;
FIG. 2 is a flow chart illustrating a method for analyzing a medical message according to an embodiment of the present application;
FIG. 3 is a schematic diagram of an analysis system according to an embodiment of the present application;
fig. 4 is a schematic flowchart illustrating an encryption method according to an embodiment of the present application;
FIG. 5 is a schematic diagram of an analysis system according to an embodiment of the present application;
FIG. 6 is a schematic method flow diagram of an analysis method according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of an analysis apparatus according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items. It should also be understood that the word "if," as used herein, may be interpreted as "at … …" or "when … …" or "in response to a determination," depending on the context.
The block chain technology, also called distributed ledger technology, is an emerging technology in which several computing devices participate in "accounting" together, and a complete distributed database is maintained together. The blockchain technology has been widely used in many fields due to its characteristics of decentralization, transparency, participation of each computing device in database records, and rapid data synchronization between computing devices.
Blockchains are generally divided into three types: public chain (Public Blockchain), Private chain (Private Blockchain) and alliance chain (Consortium Blockchain). In addition, there are various types of combinations, such as private chain + federation chain, federation chain + public chain, and other different combinations.
The blockchain provides the functionality of an intelligent contract. An intelligent contract may be defined in the form of code.
Smart contracts may be deployed in blockchains by smart contract creation transactions. After the contract is created, a contract account corresponding to the intelligent contract appears on the blockchain and has a specific address, and the contract code and the account storage are stored in the contract account. The behavior of an intelligent contract is controlled by the contract code, while the account store (Storage) of the intelligent contract maintains the state of the contract. In other words, the intelligent contract causes a virtual account to be generated on the blockchain that contains the contract code and account storage.
The transaction is called through the intelligent contract, so that execution logic inside the intelligent contract can be called to complete corresponding steps. The medical information collection is realized by utilizing the characteristic of the intelligent contract.
The application provides an industry big data oriented intelligent analysis system. The analysis system comprises a block chain, a receiving unit, a sending unit and a evidence storing unit, wherein the receiving unit, the sending unit and the evidence storing unit are connected with the block chain; the block chain comprises block chain nodes which are identified in advance and an analysis intelligent contract used for analyzing data; the block chain node is used for realizing interaction between the receiving unit, the sending unit and the evidence storing unit and the block chain respectively;
the receiving unit is used for receiving medical information initiated by a first user client, responding to the received medical information, constructing an intelligent contract calling transaction, calling the analysis intelligent contract and generating an analysis event; wherein the medical information comprises condition information and corresponding diagnostic information;
the sending unit is used for acquiring the analysis event and sending the analysis event to a plurality of second user clients which are authenticated in advance so as to enable the plurality of second users to respond to the analysis event and analyze the medical information to obtain analysis result information and call the analysis intelligent contract, and second virtual resources with the limit corresponding to the verification are transferred to second contract accounts corresponding to the plurality of second users respectively;
the evidence storing unit is used for obtaining the analysis result information fed back by the plurality of second users, calling the analysis intelligent contracts, determining the number of the second users with reliability of the medical information according to the analysis result information, storing the medical information and the analysis result information aiming at the medical information to the block chain when the number reaches a first threshold value, and transferring a first virtual resource of a limit corresponding to the medical information to a first contract account corresponding to the first user.
In the system, firstly, the collection process of the medical information can be driven by using the analysis intelligent contract, on one hand, each link of the collection process is automatically executed, and the rights and interests of a medical information provider (a first user) and an analyst (a second user) are ensured; on the other hand, the collection process can be supervised, and the reliability of medical information is improved.
Secondly, after medical information provided by a first user is received, a second user authenticated in advance is used for analyzing and verifying the medical information, and the medical information is stored and verified when the number of the second users considering that the medical information has reliability is a first threshold value, so that the reliability of the medical information is improved.
Thirdly, by using the analysis intelligent contract, on one hand, after a second user client analyzes medical information, second virtual resources are allocated to a second contract account corresponding to a second user section; on the other hand, under the condition that the medical information provided by the first user is determined to have reliability, the first virtual resource can be allocated to the first contract account corresponding to the first user client, so that the rights and interests of the first user are guaranteed; the two aspects can improve the participation enthusiasm of the first user and the second user, and further help to collect more medical information.
Fourthly, the real reliability of the medical information stored with the certificate is improved by utilizing the characteristic that the block chain cannot be tampered, and further the realization of self-service medical treatment is promoted.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an analysis system according to an embodiment of the present disclosure.
As shown in fig. 1, the analysis system 100 may include a blockchain 110, and a receiving unit 120, a transmitting unit 130, and a credentialing unit 140 connected to the blockchain 110.
It should be noted that the functional units (including the receiving unit, the sending unit and the evidence storing unit) referred to in the present application include corresponding software functional logic and hardware devices for executing the software functional logic.
In some embodiments, the receiving unit, the sending unit, and the evidence storing unit are all deployed on a BaaS platform.
The baas (blockchain as a service) refers to a blockchain open platform which embeds a blockchain frame into a cloud computing platform, provides a convenient and high-performance blockchain ecological environment and ecological matching service for developers by using the deployment and management advantages of cloud service infrastructure, and supports the business expansion and operation support of the developers.
The BaaS platform can be understood as a server side and provides interaction service with the block chain for the user side, so that the user side can be prevented from directly interacting with the block chain, the deployment difficulty of the user side is simplified, and the safety of the block chain can be improved.
In some ways, the receiving unit, the sending unit and the evidence storing unit may be deployed on a BaaS platform, and interact with a blockchain node or a user side in a blockchain by developing a corresponding interface.
The block chain 110 includes a plurality of block chain nodes identified in advance. These block link points provide decentralized distributed services. The receiving unit, sending unit and the evidence unit can access these blockchain nodes to perform tasks such as data evidence storage, contract issuing, contract invoking and the like.
In some modes, a developer can develop analysis intelligent contracts in advance, and the intelligent contracts comprise a plurality of arithmetic logics, such as analysis event generation logic, event verification logic and event storage logic.
Wherein the analysis event generation logic can generate and publish analysis events in the blockchain based on the input medical information. The event verification logic may determine that the medical information is indeed reliable when the input analysis result information indicates that the number of second users who analyzed that the medical information is reliable reaches a first threshold. The event credentialing logic can credentialing the medical information in a blockchain if it is determined that the medical information does have reliability.
The receiving unit 120 may be configured to receive medical information provided by a first user client, and in response to the received medical information, construct an intelligent contract invoking transaction, invoke the analysis intelligent contract, and generate an analysis event; wherein the medical information comprises condition information and corresponding diagnostic information.
The first user refers to a user who uploads medical information. The first user may be a doctor, a student with medical knowledge, or the like.
The medical information includes condition information and corresponding diagnostic information. The condition information may include disease symptoms. For example, fever, headache, cough, low back and leg pain, and the like. The diagnostic information includes methods, drugs, etc. that may treat or ameliorate the condition. For example, the diagnostic information may include a drug name, instructions for medication, a method of rehabilitation exercise, and the like. It should be noted that the medical information is approved by the information owner, and the data does not have data related to the patient, such as name, address, age, etc., which are not suitable for disclosure.
The first user client refers to a software client deployed in the terminal device. The terminal device may be a notebook computer, a server, a mobile phone, a Personal Digital Assistant (PDA), or the like. The type of the terminal device is not particularly limited in this application.
The first user can operate the first user client, input the medical information in the first client, and trigger a send button.
The first client may invoke a corresponding software interface of the receiving unit 120 to transmit the medical information to the receiving unit 120 in response to the transmission button being triggered.
The receiving unit 120 may receive the medical information through the software interface, and in response to receiving the medical information, generate an intelligent contract invocation transaction and publish the transaction in a blockchain. The transaction includes an account address of the analysis intelligent contract, and the blockchain may obtain and execute the analysis intelligent contract according to the account address.
The blockchain may run analytics event generation logic included with the analytics smart contract to generate analytics events based on the medical information.
The sending unit 130 may obtain the analysis event and send the analysis event to a plurality of second user clients authenticated in advance, so that the plurality of second users analyze the medical information in response to the analysis event to obtain analysis result information and call the analysis intelligent contract, and transfer second virtual resources of a quota corresponding to the verification to second contract accounts corresponding to the plurality of second users, respectively.
In some approaches, the intelligent contract is used to post the generated analysis events to the blockchain after the analysis events are generated. Such as storing the analysis events in a contract account and synchronizing the hardware storage at block link points. The sending unit 130 may obtain the analysis event by listening to hardware storage of a blockchain node.
In some approaches, an SDK (software package) may be installed in the blockchain node. With the SDK, the sending unit may listen to the hardware storage of the blockchain node. For example, the SDK may monitor whether an analysis event is received in the blockchain node, and after receiving the analysis event, transmit the analysis event to the transmitting unit 130.
In some approaches, the listening may be done through a message subscription mode. Such as a block link point, may send the received analysis event to a message server, which may send the analysis event to a sending unit 130 subscribing to the topic.
After the analysis event is acquired (in a situation that the analysis event is monitored), the transmitting unit 130 transmits the medical information to the plurality of second user clients, so that the plurality of second users analyze the received medical information.
The second user is a pre-authenticated authoritative person. These second users have the ability to analyze the authenticity of the medical information and determine whether the medical information includes disease information and diagnostic information that match.
The second user client is a client developed for a second user and is deployed in the terminal device corresponding to the second user. The sending unit may establish a pass connection (e.g. a TCP connection) with the second client so that the analysis event may be sent to the second client. The second client may present the medical information to a second, later, user for analysis.
The sending unit may further construct an intelligent contract invoking transaction, invoke a resource transfer logic in the analysis intelligent contract, and transfer a second virtual resource of a quota corresponding to the analysis to second contract accounts respectively corresponding to the plurality of second users.
In some embodiments, the intelligent contract is used to confirm the amount of the disease information or the diagnosis information included in the medical information, and obtain a second virtual resource, such as a certain amount of Token, corresponding to the analysis according to the unit virtual resource amount, and then transfer the second virtual resource to a plurality of contract accounts corresponding to second users.
The second user may retrieve virtual resources stored by the contract account for value exchange, such as shopping.
In some embodiments, the medical information is uploaded in the form of a medical picture.
Referring to fig. 2, fig. 2 is a flowchart illustrating a method for analyzing a medical message according to an embodiment of the present application. As shown in fig. 2, the method may include S202-S206. The order of execution of these steps is not limited unless otherwise specified.
S202, the second user client extracts disease information and diagnosis information included in the medical information by utilizing an OCR technology.
OCR (Optical Character Recognition) refers to the process of examining a printed Character on a picture, determining its shape by detecting dark and light patterns, and then translating the shape into computer text using Character Recognition methods.
In particular, medical pictures may be entered into an OCR system. The medical picture can be cut according to the characters to obtain a plurality of picture segments containing the characters, then each picture segment on the side is determined by utilizing a character recognition neural network which is trained in advance, so that the character recognition is completed, and the disease information and the diagnosis information are obtained.
It is worth mentioning that, when training the character recognition neural network, besides using a conventional font as a sample, a doctor handwriting font can be used as a sample, thereby improving the character recognition capability of the character recognition neural network.
In some embodiments, after the character recognition of the medical picture is completed, character deletion can be performed according to the specific meaning of the character, so as to delete character data which is not suitable for disclosure.
For example, if characters such as name, address, age, etc. are recognized, a preset number of characters after the characters can be deleted, so that character data which are not suitable for disclosure can be deleted, and the data are prevented from being disclosed.
Condition information and diagnostic information are identified, which may be presented to a second user.
And S204, analyzing whether the disease information is matched with the diagnosis information or not according to the disease information.
In some approaches, these second users may empirically analyze whether the condition information matches the diagnostic information.
And S206, determining that the medical information has reliability under the condition that the disease information is matched with the diagnosis information. Otherwise, the medical information is determined to have no reliability.
After the second user completes the analysis of the medical information, the result of the analysis on whether the medical information is reliable may be input at the second user client. The second user client may generate analysis result information according to the analysis result, and send the analysis result information to the evidence storage unit 140.
The evidence storing unit 140 may be configured to obtain the analysis result information fed back by the plurality of second users, call the analysis intelligent contract, determine, according to the analysis result information, the number of second users who have analyzed the reliability of the medical information, store, when the number reaches a first threshold, the medical information and the analysis result information for the medical information in the block chain, and transfer a first virtual resource of a quota corresponding to the medical information to a first contract account corresponding to the first user.
In particular, the validation unit 140 may construct a contract invocation transaction, invoking the validation logic of the analytical intelligent contract. The analysis result information uploaded by each second user can be acquired through the evidence storage logic to be summarized, and the number of the second users considering that the medical information has reliability can be counted. The number may then be compared to a first threshold, and if the number reaches the first threshold, the medical information is deemed to be reliable.
The first threshold is an empirical threshold, and can be set according to requirements. For example, the first threshold may be 90% of the total number of second users. I.e. assuming that the second user totals 100 people, the first threshold may be set to 90.
If it is determined that the medical information does have reliability, the medical information may be credited in a blockchain.
In some approaches, a medical information repository is included in a contract account corresponding to the analytic intelligent contract. The medical information base stores the disease information and the diagnosis information in a correlated manner. The medical information may be stored in the medical information repository to complete the deposit.
If it is determined that the medical information does have reliability, a relevant reward may also be made to the first user. After the evidence storage logic is completed, the resource transfer logic can be continued, and the first virtual resource of the limit corresponding to the medical information is transferred to the first contract account corresponding to the first user.
The resource transfer logic may be configured to count the amount of the medical information counted by the medical information, determine the first virtual resource amount according to the unit resource amount, and complete the related transfer.
The first user may extract these virtual resources from the first contract for the associated value exchange.
In the system, firstly, the collection process of the medical information can be driven by using the analysis intelligent contract, on one hand, each link of the collection process is automatically executed, and the rights and interests of a medical information provider (a first user) and an analyst (a second user) are ensured; on the other hand, the collection process can be supervised, and the reliability of medical information is improved.
Secondly, after medical information provided by a first user is received, a second user authenticated in advance is used for analyzing and verifying the medical information, and the medical information is stored and verified when the number of the second users considering that the medical information has reliability is a first threshold value, so that the reliability of the medical information is improved.
Thirdly, by using the analysis intelligent contract, on one hand, after a second user client analyzes medical information, second virtual resources are allocated to a second contract account corresponding to a second user section; on the other hand, under the condition that the medical information provided by the first user is determined to have reliability, the first virtual resource can be allocated to the first contract account corresponding to the first user client, so that the rights and interests of the first user are guaranteed; the two aspects can improve the participation enthusiasm of the first user and the second user, and further help to collect more medical information.
Fourthly, the real reliability of the medical information stored with the certificate is improved by utilizing the characteristic that the block chain cannot be tampered, and further the realization of self-service medical treatment is promoted.
In some embodiments, it may be ensured that the medical information is uploaded after permission by the first user. When the analysis system registers an account, a first user is assigned a unique public and private key pair. Where the public key is published in the blockchain, in the public state. The private key is private to the first user.
When uploading the medical information, the first user can use the private key of the first user to sign. So that the private key is added to the medical information piece to indicate that the medical information is indeed uploaded after approval.
In some embodiments, the receiving unit may check the medical information by using a public key corresponding to the first user, and construct an intelligent contract invoking transaction if the medical information passes the check. Otherwise, the intelligent contract is not allowed to be called. Therefore, the medical information is ensured to be the data authorized by the first user, negative effects are avoided, and the data security can be improved.
In some embodiments, to improve the security of the medical information, the medical information may be encrypted with a key. It is worth mentioning that the key used in the encryption is randomly generated, and the method for generating the key is not public and cannot be cracked. In some approaches, the method of generating a key is deployed in the trusted execution environment TEE in the form of a trusted program TA. The method and the device can be called only when the key is generated, but the process of generating the key is unknown to the outside, so that the security of the key is improved, and the security of medical information is further improved.
Referring to fig. 3, fig. 3 is a schematic structural diagram of an analysis system according to an embodiment of the present disclosure.
As shown in fig. 3, the analysis system 300 comprises a blockchain 310, and a receiving unit 320, a sending unit 330, a credentialing unit 340, an encrypting unit 350 and a decrypting unit 360 connected to the blockchain 310. The descriptions of the receiving unit, the sending unit and the evidence storing unit can refer to the descriptions of the relevant functional units in the analysis system shown in fig. 1, and are not detailed here.
The first user client and the second user client are trusted clients that have been previously verified. In some modes, when the client is installed, the user can be authenticated, and the client is allowed to be installed only when the client passes the authentication, so that the credibility of the client is ensured. In some approaches, the method of key generation may be installed as a TA in the TEE of the terminal device.
The first user client may invoke the encryption unit 350 to complete encryption after receiving the medical information input by the first user.
Referring to fig. 4, fig. 4 is a schematic flowchart illustrating an encryption method according to an embodiment of the present application. As shown in fig. 4, the method may include S402-S408. These methods are applied to the encryption unit 350. The order of execution of these steps is not limited unless otherwise specified.
S402, responding to the received medical information, sending reminding information to the first user, and enabling the first user to respond to the reminding information and upload a target image used for generating a secret key.
In some manners, the encryption unit may send a prompt to the first user in a pop-up or jump page manner, and request the first user to upload the target image.
In some modes, the first user can select one image from the terminal equipment to upload.
In some modes, the first user client can call the camera for the first user to take a picture in real time to obtain a real-time picture, and the first user can upload the real-time picture as a target image. The randomness of the image can be increased by adopting the real-time image, and the security of the secret key is further improved.
S404, receiving the target image, and performing random quantity sliding in a preset sliding direction according to a preset step length by using a sliding frame with a preset size.
The sliding frame, the step length and the sliding direction can be set according to requirements. For example, the sliding frame may be 3 × 3, the step size is 3, and the sliding direction is from left to right, from top to bottom. The random number is a number randomly generated during encryption, so that the difficulty of cracking the secret key is increased, and the safety of the secret key is improved.
S406, generating a key based on the pixel value of the first pixel point included in the sliding frame after the sliding is finished.
After the sliding of the preset number words is completed, the sliding frame comprises a plurality of first pixel points. The pixel values of these first pixels can be used to generate a key. For example, the key may be obtained by sequentially splicing or performing operation on the pixel values of the first pixel points. The operation may be weighted addition, weighted multiplication, or the like.
S408, encrypting the medical information based on the key.
In this step, a symmetric encryption mode can be adopted for encryption. The encryption method can refer to the related art, and is not described in detail herein.
Through the steps recorded in S402-S408, on one hand, the secret key can not be directly transmitted, on the other hand, the secret key can be calculated by utilizing the random number and the pixel data of the target image uploaded by the user, and through the two aspects, the safety of the secret key can be enhanced, the difficulty in cracking the secret key is increased, and further the safety of medical information is improved.
After the encryption of the medical information is completed, the first user client may send the random number, the target image, and the encrypted medical information to the receiving unit 320 for subsequent operations.
The decryption unit 360 may parse the analysis event after acquiring the analysis event, to obtain the random number, the target image and the encrypted medical information; performing the random number of sliding on the target image by the sliding frame with the preset size in the same sliding mode as the encryption unit; generating a key based on the pixel value of a second pixel point included in the sliding frame after the sliding is finished; decrypting the medical information based on the secret key to obtain decrypted medical information; and analyzing the decrypted medical information.
In the encryption and decryption method, on one hand, an encryption unit is deployed at a trusted first user client, and a decryption unit is deployed at a trusted second user client, wherein the encryption unit and the decryption unit contain the same method for calculating a key, so that the key does not need to be directly transmitted when an analysis event is transmitted, and on the other hand, the key can be calculated by using the random number and pixel data of a target image uploaded by a user; the security of the key can be enhanced by the two aspects of modes, the difficulty in key cracking is increased, and the security of medical information is further improved.
In some embodiments, the second user may be replaced periodically, thereby facilitating the second user to carefully analyze the medical information and thereby ensure the reliability of the medical information.
Referring to fig. 5, fig. 5 is a schematic structural diagram of an analysis system according to an embodiment of the present disclosure.
As shown in fig. 5, the analysis system 500 includes a blockchain 510, and a receiving unit 520, a sending unit 530, a credentialing unit 540, an encrypting unit 550, a decrypting unit 560, a first changing unit 570 and a second changing unit 580 connected to the blockchain 510. The descriptions of the receiving unit, the sending unit, the credentialing unit, the encrypting unit and the decrypting unit can refer to the descriptions of the relevant functional units in the analysis system shown in fig. 3, and are not detailed here.
After acquiring the analysis event, the sending unit 530 may send the medical information to the candidate user clients, so that the candidate users analyze the received medical information.
The candidate users are users who want to participate in the medical information analysis process, and the users also participate in the analysis of the medical information, but the analysis results of the users do not influence the confirmation of the reliability of the medical information.
The candidate user clients refer to clients corresponding to candidate users, and the candidate user clients are deployed in the terminal equipment.
The sending unit may send the medical information to the candidate user client and the second user client. The candidate user clients can display medical information for analysis by the candidate users, and the second user client can display medical information for analysis by the second user. The results of the analysis of the medical information by the candidate user and the second user are uploaded to the first change unit 570 and/or the second change unit 580.
The first changing unit 570 may calculate the analysis accuracy of each of the second users and each of the candidate users according to the analysis result information.
The first changing unit maintains the analysis accuracy corresponding to each second user and each candidate user. The denominator of the analysis accuracy includes the number of times that the user participates in the medical information analysis, and the numerator is the number of times that the analysis result of the user is consistent with the final analysis result. The final analysis result refers to a final analysis result obtained according to the analysis results of the second users. And if the number of the second users with the reliability of the medical information is considered to reach a first threshold value, determining that the medical information is finally provided with the reliability, and if the number is lower than the first threshold value, determining that the medical information is not provided with the reliability.
After the analysis of the medical information is completed each time, the first changing unit may update the analysis accuracy corresponding to each second user and each candidate user.
The first changing unit 570 may also rank the second user and the candidate users according to the analysis accuracy periodically.
In practical application, a preset time duration may be set, and the first changing unit may start sorting after the preset time duration elapses. For example, the second user and the candidate user may be ranked in order from high to low, respectively, to obtain two ranking results.
After the ranking result is obtained, the identities of the N second users with the later analysis accuracy ranking and the N candidate users with the earlier analysis accuracy ranking can be interchanged.
The N is an empirical threshold. For example, it may be 3 or 4.
The first changing unit can change the second user with relatively low analysis accuracy into a candidate user and change the candidate user with relatively high analysis accuracy into the second user regularly, so that the second user can be kept to have relatively high analysis accuracy all the time, the reliability of the medical information is improved, a whip effect can be performed on the second user, and the reliability of the medical information is improved.
The second changing unit 580 may calculate the analysis accuracy of each of the second users and each of the candidate users according to the analysis result information.
The second changing unit maintains the analysis accuracy corresponding to each second user and each candidate user. The denominator of the analysis accuracy includes the number of times that the user participates in the medical information analysis, and the numerator is the number of times that the analysis result of the user is consistent with the final analysis result. The final analysis result refers to a final analysis result obtained according to the analysis results of the second users. And if the number of the second users of the medical information with reliability reaches a first threshold value, determining that the medical information is finally provided with reliability, and if the number is lower than the first threshold value, determining that the medical information is not provided with reliability.
After the analysis of the medical information is completed each time, the second changing unit may update the analysis accuracy corresponding to each second user and each candidate user.
The second changing unit 580 may also perform mixed ranking of the second user and the candidate user according to the analysis accuracy rate at regular intervals.
In practical application, a preset time duration may be set, and the second changing unit may start sorting after the preset time duration elapses. For example, the second user and the candidate user may be mixed and ranked from high to low to obtain a ranking result.
After the ranking result is obtained, the M users ranked at the top of the analysis accuracy may be determined as second users, and the remaining users may be determined as candidate users.
The M is an empirical threshold. Such as may be 100.
The second changing unit can keep the analysis accuracy of the second user at a higher level all the time so as to improve the reliability of the medical information, and can play a role in flagging the second user so as to improve the reliability of the medical information.
The application also provides an analysis method. The method is applied to the intelligent analysis system shown in any one of the embodiments. The analysis system comprises a block chain, a receiving unit, a sending unit and a evidence storing unit, wherein the receiving unit, the sending unit and the evidence storing unit are connected with the block chain; the block chain comprises block chain nodes which are identified in advance and an analysis intelligent contract used for analyzing data; the block chain node is used for realizing interaction between the receiving unit, the analyzing unit, the sending unit and the evidence storing unit and the block chain respectively.
Referring to fig. 6, fig. 6 is a schematic flow chart of an analysis method according to an embodiment of the present application.
As shown in fig. 6, the method includes:
s602, receiving medical information provided by a first user client through the receiving unit, responding to the received medical information, constructing an intelligent contract calling transaction, calling the analysis intelligent contract, and generating an analysis event; wherein the medical information comprises condition information and corresponding diagnostic information;
s604, acquiring the analysis event and sending the analysis event to a plurality of second user clients authenticated in advance through the sending unit, so that the plurality of second users analyze the medical information in response to the analysis event to obtain analysis result information and call the analysis intelligent contract, and second virtual resources with a limit corresponding to the analysis are transferred to second contract accounts corresponding to the plurality of second users respectively;
and S606, obtaining the analysis result information fed back by the plurality of second users through the evidence storing unit, calling the analysis intelligent contract, determining the number of the second users who analyze the reliability of the medical information according to the analysis result information, storing the medical information and the analysis result information aiming at the medical information to the block chain when the number reaches a first threshold value, and transferring a first virtual resource of a limit corresponding to the medical information to a first contract account corresponding to the first user.
In the method, firstly, the collection process of the medical information can be driven by using the analysis intelligent contract, on one hand, each link of the collection process is automatically executed, and the rights and interests of a medical information provider (a first user) and an analyst (a second user) are ensured; on the other hand, the collection process can be supervised, and the reliability of medical information is improved.
Secondly, after medical information provided by a first user is received, a second user authenticated in advance is used for analyzing and verifying the medical information, and the medical information is stored and verified when the number of the second users considering that the medical information has reliability is a first threshold value, so that the reliability of the medical information is improved.
Thirdly, by using the analysis intelligent contract, on one hand, after a second user client analyzes medical information, second virtual resources are allocated to a second contract account corresponding to a second user section; on the other hand, under the condition that the medical information provided by the first user is determined to have reliability, the first virtual resource can be allocated to the first contract account corresponding to the first user client, so that the rights and interests of the first user are guaranteed; the two aspects can improve the participation enthusiasm of the first user and the second user, and further help to collect more medical information.
Fourthly, the real reliability of the medical information of the certificate is improved by utilizing the characteristic that the block chain can not be tampered, and further the realization of self-service medical treatment is promoted.
In some embodiments, the first user signs the medical information with its own corresponding private key; the method further comprises the following steps: and verifying and signing the medical information by using the public key corresponding to the first user through the receiving unit, and constructing an intelligent contract calling transaction under the condition that the verification is passed.
In some embodiments, the first user client is a previously authenticated trusted client; the analysis system further comprises an encryption unit deployed at the first user client;
the method further comprises the following steps: sending reminding information to the first user by utilizing the encryption unit in response to the received medical information so that the first user uploads a target image for generating a key in response to the reminding information;
receiving the target image, and performing random quantity sliding in a preset sliding direction according to a preset step length by using a sliding frame with a preset size;
generating a key based on the pixel value of a first pixel point included in the sliding frame after the sliding is finished;
encrypting the medical information based on the key.
In some embodiments, the analysis event comprises the random number, the target image, and the encrypted medical information; the second user client is a trusted client which is verified in advance; the analysis system further comprises a decryption unit deployed at the second user client; the method further comprises the following steps: analyzing the analysis event after the analysis event is acquired by using the decryption unit to obtain the random number, the target image and the encrypted medical information;
performing the random number of sliding on the target image by using the sliding mode which is the same as that in the encryption unit and the sliding frame with the preset size;
generating a key based on the pixel value of a second pixel point included in the sliding frame after the sliding is finished;
decrypting the medical information based on the secret key to obtain decrypted medical information;
and analyzing the decrypted medical information.
In some embodiments, the intelligent contract is configured to publish the generated analysis event to the blockchain after generating the analysis event; the method further comprises the following steps: and monitoring event information issued in the blockchain by using the sending unit, and sending the medical information to the plurality of second user clients under the condition of monitoring the analysis event so as to enable the plurality of second users to analyze the received medical information.
In some embodiments, candidate user clients corresponding to a plurality of candidate users are connected with the sending unit; the method further comprises the following steps: and after the analysis event is acquired by using the sending unit, sending the medical information to the candidate user clients so that the candidate users can analyze the received medical information.
In some embodiments, the blockchain further includes a first alteration unit. The method further comprises the step of utilizing the first changing unit to count the analysis accuracy of each second user and each candidate user according to the analysis result information;
respectively sequencing the second user and the candidate users according to the analysis accuracy at regular intervals;
and carrying out identity interchange on the N second users with the later analysis accuracy sequence and the N candidate users with the earlier analysis accuracy sequence.
In some embodiments, the blockchain further includes a second alteration unit. The method further comprises the step of utilizing the second changing unit to count the analysis accuracy of each candidate user of each second user according to the analysis result information;
regularly performing mixed sorting on the second user and the candidate users according to the analysis accuracy;
and determining M users with the highest analysis accuracy as second users and determining the rest users as candidate users.
In some embodiments, the second user client analyzes the received medical information, including:
the second user client extracts the disease information and the diagnosis information included in the medical information by using an OCR technology;
analyzing whether the disease information is matched with the diagnosis information or not according to the disease information;
determining that the medical information is reliable in a case where the condition information matches the diagnostic information.
In some embodiments, the receiving unit, the sending unit, and the evidence storing unit are all deployed on a BaaS platform.
Corresponding to any embodiment, the application also provides an analysis device. The device is applied to the intelligent analysis system shown in any one of the previous embodiments. The analysis system comprises a block chain, a receiving unit, a sending unit and a evidence storing unit, wherein the receiving unit, the sending unit and the evidence storing unit are connected with the block chain; the block chain comprises block chain nodes which are identified in advance and an analysis intelligent contract used for analyzing data; the block chain node is used for realizing interaction between the receiving unit, the analyzing unit, the sending unit and the evidence storing unit and the block chain respectively.
Referring to fig. 7, fig. 7 is a schematic structural diagram of an analysis apparatus according to an embodiment of the present disclosure. As shown in fig. 7, the illustrated analysis apparatus 700 may include:
a receiving module 710, configured to receive, through the receiving unit, medical information provided by a first user client, and in response to the received medical information, construct an intelligent contract invoking transaction, invoke the analysis intelligent contract, and generate an analysis event; wherein the medical information comprises disease information and corresponding diagnostic information;
a sending module 720, configured to obtain the analysis event through the sending unit and send the analysis event to a plurality of second user clients authenticated in advance, so that the plurality of second users analyze the medical information in response to the analysis event to obtain analysis result information and invoke the analysis intelligent contract, and transfer second virtual resources of a quota corresponding to the analysis to second contract accounts corresponding to the plurality of second users respectively;
the evidence storing module 730 is configured to obtain the analysis result information fed back by the plurality of second users through the evidence storing unit, and call the analysis intelligent contract, so as to determine the number of the second users who analyze the medical information and have reliability according to the analysis result information, and when the number reaches a first threshold value, store the medical information and the analysis result information for the medical information to the block chain, and transfer a first virtual resource of a limit corresponding to the medical information to a first contract account corresponding to the first user.
In some embodiments, the first user signs the medical information with its own corresponding private key; the receiving module 710 is further configured to:
and verifying and signing the medical information by using the public key corresponding to the first user through the receiving unit, and constructing an intelligent contract calling transaction under the condition that the verification is passed.
In some embodiments, the first user client is a previously authenticated trusted client; the analysis system further comprises an encryption unit deployed at the first user client;
the analysis device 700 further includes an encryption module, configured to send, by using the encryption unit, a reminder to the first user in response to the received medical information, so that the first user uploads a target image for generating a key in response to the reminder;
receiving the target image, and performing random quantity sliding in a preset sliding direction according to a preset step length by using a sliding frame with a preset size;
generating a key based on the pixel value of a first pixel point included in the sliding frame after the sliding is finished;
encrypting the medical information based on the key.
In some embodiments, the analysis event comprises the random number, the target image, and the encrypted medical information; the second user client is a trusted client which is verified in advance; the analysis system further comprises a decryption unit deployed at the second user client;
the analysis device 700 further includes a decryption module, configured to, after the analysis event is obtained by using the decryption unit, analyze the analysis event to obtain the random number, the target image, and the encrypted medical information;
performing the random number of sliding on the target image by the sliding frame with the preset size in the same sliding mode as the encryption unit;
generating a key based on the pixel value of a second pixel point included in the sliding frame after the sliding is finished;
decrypting the medical information based on the secret key to obtain decrypted medical information;
and analyzing the decrypted medical information.
In some embodiments, the intelligent contract is configured to publish the generated analysis event to the blockchain after generating the analysis event; the sending module 720 is specifically configured to:
and monitoring event information issued in the block chain by using the sending unit, and sending the medical information to the plurality of second user clients under the condition that the analysis event is monitored, so that the plurality of second users analyze the received medical information.
In some embodiments, candidate user clients corresponding to a plurality of candidate users are connected with the sending unit; the sending module 720 is specifically configured to: and after the analysis event is acquired by using the sending unit, sending the medical information to the candidate user clients so that the candidate users can analyze the received medical information.
In some embodiments, the blockchain further includes a first alteration unit. The analysis apparatus 700 further includes a first changing module, configured to utilize the first changing unit to count an analysis accuracy of each of the second users and each of the candidate users according to the analysis result information;
respectively sequencing the second user and the candidate users according to the analysis accuracy at regular intervals;
and carrying out identity interchange on the N second users with the later analysis accuracy sequence and the N candidate users with the earlier analysis accuracy sequence.
In some embodiments, the blockchain further includes a second alteration unit. The analysis apparatus 700 further includes a second changing module, configured to utilize the second changing unit to count an analysis accuracy of each candidate user of each second user according to the analysis result information;
regularly performing mixed sorting on the second user and the candidate users according to the analysis accuracy;
and determining M users with the highest analysis accuracy as second users and determining the rest users as candidate users.
In some embodiments, the second user client analyzes the received medical information, including:
the second user client extracts the disease information and the diagnosis information included in the medical information by using an OCR technology;
analyzing whether the disease information is matched with the diagnosis information or not according to the disease information;
and determining that the medical information is reliable in the case that the disease information is matched with the diagnosis information.
In some embodiments, the receiving unit, the sending unit, and the evidence storing unit are all deployed on the BaaS platform.
In the foregoing solution, firstly, the collection process of the medical information may be driven by using an analysis intelligent contract, so that on one hand, each link of the collection process is automatically executed, and the rights and interests of the medical information provider (the first user) and the analyst (the second user) are guaranteed; on the other hand, the collection process can be supervised, and the reliability of medical information is improved.
Secondly, after medical information provided by a first user is received, a second user authenticated in advance is used for analyzing and verifying the medical information, and the medical information is stored and verified when the number of the second users considering that the medical information has reliability is a first threshold value, so that the reliability of the medical information is improved.
Thirdly, by using the analysis intelligent contract, on one hand, after a second user client analyzes medical information, second virtual resources are allocated to a second contract account corresponding to a second user section; on the other hand, under the condition that the medical information provided by the first user is determined to have reliability, the first virtual resource can be allocated to the first contract account corresponding to the first user client, so that the rights and interests of the first user are guaranteed; the two aspects can improve the participation enthusiasm of the first user and the second user, and further help to collect more medical information.
Fourthly, the real reliability of the medical information stored with the certificate is improved by utilizing the characteristic that the block chain cannot be tampered, and further the realization of self-service medical treatment is promoted.
One skilled in the art will recognize that one or more embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, one or more embodiments of the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, one or more embodiments of the present application may take the form of a computer program product embodied on one or more computer-usable storage media (which may include, but are not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
In this application "and/or" means having at least one of the two. The embodiments in the present application are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the data processing apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to part of the description of the method embodiment.
Although this application contains many specific implementation details, these should not be construed as limiting the scope of any disclosure or of what may be claimed, but rather as merely describing features of particular disclosed embodiments. Certain features that are described in this application in the context of separate embodiments can also be implemented in combination in a single embodiment. In another aspect, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination. Moreover, although features may be described as acting in certain combinations and even initially claimed as such, one or more features from a claimed combination can in some cases be excised from the combination, and the claimed combination may be directed to a subcombination or variation of a subcombination.
Similarly, while operations are depicted in the drawings in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. In some cases, multitasking and parallel processing may be advantageous. Moreover, the separation of various system modules and components in the embodiments described should not be understood as requiring such separation in all embodiments, and it should be understood that the described program components and systems can generally be integrated together in a single software product or packaged into multiple software products.
The above description is only for the purpose of illustrating the preferred embodiments of the present application and is not intended to limit the present application to the particular embodiments of the present application, and any modifications, equivalents, improvements, etc. made within the spirit and principles of the present application should be included within the scope of the present application.

Claims (10)

1. An industry big data oriented intelligent analysis system is characterized in that the analysis system comprises a block chain, a receiving unit, a sending unit and a evidence storing unit, wherein the receiving unit, the sending unit and the evidence storing unit are connected with the block chain; the block chain comprises block chain nodes which are identified in advance and an analysis intelligent contract used for analyzing data; the block chain node is used for realizing interaction between the receiving unit, the analyzing unit, the sending unit and the evidence storing unit and the block chain respectively;
the receiving unit is used for receiving medical information provided by a first user client, responding to the received medical information, constructing an intelligent contract calling transaction, calling the analysis intelligent contract and generating an analysis event; wherein the medical information comprises condition information and corresponding diagnostic information;
the sending unit is used for acquiring the analysis event and sending the analysis event to a plurality of second user clients which are authenticated in advance so as to enable the plurality of second users to respond to the analysis event and analyze the medical information to obtain analysis result information and call the analysis intelligent contract, and second virtual resources with the quota corresponding to the analysis are transferred to second contract accounts corresponding to the plurality of second users respectively;
the evidence storing unit is used for obtaining the analysis result information fed back by the plurality of second users, calling the analysis intelligent contracts, determining the number of the second users with reliability of the medical information according to the analysis result information, storing the medical information and the analysis result information aiming at the medical information to the block chain when the number reaches a first threshold value, and transferring a first virtual resource of a limit corresponding to the medical information to a first contract account corresponding to the first user.
2. The system of claim 1, wherein the first user signs the medical information with its corresponding private key;
the receiving unit is used for:
and verifying and signing the medical information by using the public key corresponding to the first user, and constructing an intelligent contract calling transaction under the condition that the verification is passed.
3. The system of claim 2, wherein the first user client is a previously authenticated trusted client; the analysis system further comprises an encryption unit deployed at the first user client;
the encryption unit is used for responding to the received medical information and sending reminding information to the first user so that the first user can upload a target image used for generating a key in response to the reminding information;
receiving the target image, and performing random quantity sliding in a preset sliding direction according to a preset step length by using a sliding frame with a preset size;
generating a key based on the pixel value of a first pixel point included in the sliding frame after the sliding is finished;
encrypting the medical information based on the key.
4. The system of claim 3, wherein the analysis event comprises the random number, the target image, and the encrypted medical information; the second user client is a trusted client which is verified in advance; the analysis system further comprises a decryption unit deployed at the second user client;
the decryption unit is configured to:
after the analysis event is obtained, analyzing the analysis event to obtain the random number, the target image and the encrypted medical information;
performing the random number of sliding on the target image by the sliding frame with the preset size in the same sliding mode as the encryption unit;
generating a key based on the pixel value of a second pixel point included in the sliding frame after the sliding is finished;
decrypting the medical information based on the secret key to obtain decrypted medical information;
and analyzing the decrypted medical information.
5. The system of claim 1, wherein the smart contract is configured to publish the generated analysis event to the blockchain after generating the analysis event;
the sending unit is configured to:
monitoring event information issued in the block chain, and sending the medical information to the plurality of second user clients under the condition that the analysis event is monitored, so that the plurality of second users analyze the received medical information.
6. The system of claim 1, wherein candidate user clients corresponding to a plurality of candidate users are connected to the sending unit;
the sending unit is configured to:
after the analysis event is acquired, the medical information is sent to the candidate user clients, so that the candidate users can analyze the received medical information.
7. The system of claim 6, wherein the blockchain further comprises a first alteration unit configured to:
according to the analysis result information, the analysis accuracy of each second user and each candidate user is counted;
respectively sequencing the second user and the candidate users according to the analysis accuracy at regular intervals;
and carrying out identity interchange on the N second users with the later analysis accuracy sequence and the N candidate users with the earlier analysis accuracy sequence.
8. The system of claim 6, wherein the blockchain further comprises a second alteration unit configured to:
according to the analysis result information, the analysis accuracy of each candidate user of each second user is counted;
regularly performing mixed sorting on the second user and the candidate users according to the analysis accuracy;
and determining M users with the highest analysis accuracy as second users and determining the rest users as candidate users.
9. The system of claim 1, wherein the second user client analyzes the received medical information, comprising:
the second user client extracts the disease information and the diagnosis information included in the medical information by using an OCR technology;
analyzing whether the disease information is matched with the diagnosis information or not according to the disease information;
determining that the medical information is reliable in a case where the condition information matches the diagnostic information.
10. The system of claim 1, wherein the receiving unit, the sending unit and the evidence storing unit are all deployed on a BaaS platform.
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