CN115101212A - Kidney disease clinical diagnosis service system and method - Google Patents

Kidney disease clinical diagnosis service system and method Download PDF

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Publication number
CN115101212A
CN115101212A CN202210721401.0A CN202210721401A CN115101212A CN 115101212 A CN115101212 A CN 115101212A CN 202210721401 A CN202210721401 A CN 202210721401A CN 115101212 A CN115101212 A CN 115101212A
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information
kidney disease
relevant information
diagnosis
personal
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文怀
何庆南
杨程灏
温在驰
刘韬华
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Third Xiangya Hospital of Central South University
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Third Xiangya Hospital of Central South University
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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
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • 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
    • 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
    • G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
    • 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
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
    • 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
    • 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
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients

Abstract

The invention provides a kidney disease clinical diagnosis service system and a method, wherein the system comprises: the information input module, the diagnosis service module, the connection control module and the control processing module; the method comprises the following steps: inputting personal relevant information and kidney disease examination result relevant information; outputting a new diagnosis result according to the input personal relevant information and the relevant information of the kidney disease examination result or calling the previous diagnosis result, the personal relevant information and the relevant information of the kidney disease examination stored by the control processing module; data sharing of different diagnosis service modules is realized; and storing the diagnosis result, the personal relevant information and the kidney disease examination relevant information, and receiving the instruction called by the diagnosis service module. The invention inputs the kidney disease examination results completely, provides convenience for doctors to diagnose in time, saves the time for patients to wait for paper reports and improves the diagnosis efficiency; the connection control module connects the plurality of diagnosis service modules, so that the operation efficiency of the diagnosis service modules is improved.

Description

Kidney disease clinical diagnosis service system and method
Technical Field
The invention relates to the technical field of computer application, in particular to a kidney disease clinical diagnosis service system and a kidney disease clinical diagnosis service method.
Background
With the improvement of living standard of people, diseases such as hypertension and diabetes are highly developed under the influence of bad life styles such as staying up all night and overeating, and the incidence of kidney diseases is higher and higher. Many clinical diseases ultimately affect the structure and function of the kidney, such as hypertensive nephropathy, diabetic nephropathy, gouty nephropathy, and the like. Due to the continuous development of science and technology, artificial intelligence is widely applied in real life and plays a vital role in the medical field.
In the prior art, CN201811500325.0 clinical diagnosis interactive method and system for kidney disease are performed by a clinical diagnosis server for kidney disease; the method comprises the following steps: receiving a management request for a case data file; wherein, the case data file comprises a submission application file and a pathological diagnosis file; the management request is correspondingly generated after a user terminal logs in a management interface of the kidney disease clinical diagnosis server through authentication information; and carrying out corresponding processing according to the management request, and sending a processing result to the user terminal. Correspondingly, a kidney disease clinical diagnosis interactive system is also disclosed. By adopting the technical scheme of the invention, the intelligent management of the kidney case data can be realized, the cost is reduced, and the working efficiency is improved.
In the second prior art, CN201811500451.6 is a clinical diagnosis service system for kidney diseases, said system supports web page and wechat public account browsing access, said system comprises: the registration and login module is used for receiving authentication information of a user; wherein the users include doctor users, hospital users, laboratory users, and administrator users; the submission application module is used for receiving and storing submission application information of the user to be detected for the kidney disease; the pathological diagnosis module is used for receiving and storing the pathological diagnosis information of the inspection sample of the user to be inspected for the kidney disease; and the case archive module is used for establishing a case archive according to the submission application information and the pathological diagnosis information. By adopting the technical scheme, the labor cost can be reduced, and the service efficiency can be improved.
In the prior art, CN201811500453.5 renal failure submission application electronization method, apparatus, storage medium and terminal device include: acquiring user information of a user to be detected for kidney disease; acquiring hospital information of a kidney disease submission hospital; acquiring sample information of a kidney disease submission sample; acquiring the project information of the kidney disease submission project; and establishing an electronic submission application form according to the user information, the hospital information, the specimen information, the project information and a preset submission application form template. Correspondingly, the kidney disease submission application electronic device, the computer readable storage medium and the terminal device are also disclosed. By adopting the technical scheme, the electronization of the submission application of the kidney diseases can be realized, the working efficiency is improved, and the cost is reduced.
At present, the problems of simple function and low data processing speed of a clinical diagnosis system for the kidney diseases exist.
Disclosure of Invention
In order to solve the above technical problems, the present invention provides a clinical diagnosis service system for kidney diseases, comprising:
the information input module is used for inputting personal related information and related information of a kidney disease examination result;
the diagnosis service module outputs a new diagnosis result according to the input personal relevant information and the relevant information of the kidney disease examination result or the previous diagnosis result, the personal relevant information and the relevant information of the kidney disease examination which are stored by the calling control processing module;
the control module is connected to realize data sharing of different diagnosis service modules;
and the control processing module is used for storing the diagnosis result, the personal relevant information and the kidney disease examination relevant information and receiving the instruction called by the diagnosis service module.
Optionally, the personal related information and the kidney disease examination result related information are input, and the personal related information includes: name, sex, age, history of allergies and history of medications.
Optionally, the information related to the kidney disease examination result includes: urine examination results, renal function examination results, renal color ultrasound examination results, electronic computer tomography renal artery angiography, immune-related index examination results, renal biopsy or renal histopathology examination results.
Optionally, the diagnosis service module is communicated with the personal information input module through a data communication bus;
the connection control module is connected with the diagnosis service module through a gateway interface;
and the control processing module is connected with the information input module and the connection control module.
Optionally, the information entry module specifically includes:
an acquisition unit for acquiring personal related information and kidney disease examination result related information;
the loading unit is used for loading a corresponding information entry page according to the acquired personal relevant information and the acquired relevant information of the kidney disease examination result;
the identification unit is used for identifying and loading at least one item to be input included on the corresponding information input page;
the entry unit is used for acquiring information to be entered corresponding to the items to be entered aiming at each item to be entered in the at least one item to be entered identified by the identification unit and entering the information to be entered into an information entry column of the items to be entered on the information entry page;
and the storage unit is used for storing the information to be recorded, which is recorded in the information recording column, into the control processing module.
Optionally, the diagnostic service module specifically includes:
the request sending unit is used for sending request information for calling the personal related information and the kidney disease examination result related information stored in the control processing module;
the request encryption unit is used for encrypting the request information sent by the request sending unit, generating encrypted request information and sending the encrypted request information to the control processing module;
the safety authentication unit is used for carrying out safety authentication on the encrypted request information, and calling the stored personal related information and the stored related information of the kidney disease examination result if the safety authentication is passed; and if the safety certification is not passed, refusing to call the stored personal related information and the stored related information of the kidney disease examination result.
The invention provides a clinical diagnosis service method for kidney diseases, which comprises the following steps:
inputting personal relevant information and kidney disease examination result relevant information;
outputting a new diagnosis result according to the input personal relevant information and the relevant information of the kidney disease examination result or the previous diagnosis result, the personal relevant information and the relevant information of the kidney disease examination stored by the calling control processing module;
data sharing of different diagnosis service modules is realized;
and storing the diagnosis result, the personal relevant information and the kidney disease examination relevant information, and receiving an instruction of calling the conventional diagnosis result, the personal relevant information and the kidney disease examination relevant information by the diagnosis service module.
Optionally, the method for requesting and encrypting the previous diagnosis result, the personal related information, and the kidney disease examination related information stored in the calling control processing module specifically includes:
when a request for calling the previous diagnosis result, the personal relevant information and the kidney disease examination relevant information stored by the control processing module is sent, generating corresponding request messages of the previous diagnosis result, the personal relevant information and the kidney disease examination relevant information;
calculating the request message by adopting a Hash algorithm comprising a plurality of Hash algorithm IP cores to obtain a request message abstract;
encrypting the request message digest by using a signature private key to obtain a request message signature; the signature private key is generated by calculation by utilizing a signature master private key and a unique identifier corresponding to the diagnosis service module;
encrypting the request message, the request message digest and the request message signature by using an encrypted master public key and the unique identifier to obtain a request message ciphertext;
and sending the unique identifier and the request message ciphertext to the control processing module.
Optionally, the data sharing of different diagnostic service modules is implemented, and specifically includes:
the diagnosis service module carries out similarity calculation on treatment records including kidney disease drug selection, kidney disease drug use modes, kidney disease drug use doses, kidney disease drug use frequency and kidney disease drug use periods;
clustering with the similarity as a reference standard, wherein a typical treatment scheme is a treatment record of the kidney diseases in a clustering result core area;
and obtaining a renal disease patient population to provide a treatment scheme.
Optionally, the similarity calculation specifically includes:
carrying out structural analysis on information sets of kidney disease drug selection, kidney disease drug use modes, kidney disease drug use doses, kidney disease drug use frequency and kidney disease drug use cycle treatment records, and classifying according to the importance of each information;
classifying the information according to the selection of the kidney disease drugs, the use mode of the kidney disease drugs, the use dosage of the kidney disease drugs, the use frequency of the kidney disease drugs and the use cycle treatment record of the kidney disease drugs in the information set;
extracting characteristic items of each piece of information in the information set after classification processing;
and carrying out similarity calculation on the extracted feature items.
The invention inputs personal relevant information and kidney disease examination result relevant information through the information input module; the diagnosis service module outputs a diagnosis result according to the input personal relevant information and the relevant information of the kidney disease examination result; the kidney disease examination results are all input, so that convenience is provided for doctors to diagnose in time, the time for patients to wait for paper reports is saved, and the diagnosis efficiency is improved; the connection control module connects the plurality of diagnosis service modules, so that different diagnosis service modules can conveniently realize information sharing of patients, and the operation efficiency of the diagnosis service modules is improved; the control processing module stores the diagnosis result, realizes the storage and backup of data and provides reference data for subsequent diagnosis and treatment.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic structural diagram of a clinical diagnosis service system for renal diseases in an embodiment of the present invention.
FIG. 2 is a flow chart of a clinical diagnosis service method for renal diseases according to an embodiment of the present invention.
Fig. 3 is a flowchart of a request encryption method for retrieving previous diagnosis results, personal related information and kidney disease examination related information stored by a control processing module according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The terminology used in the embodiments of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the embodiments of the present application. As used in the examples of 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.
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 application, as detailed in the appended claims. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.
Example 1
As shown in fig. 1, an embodiment of the present invention provides a clinical diagnosis service system for renal diseases, including:
the information input module 1 inputs personal related information and kidney disease examination result related information, wherein the personal related information comprises: name, sex, age, allergy history, medication history, etc.; the information related to the kidney disease examination result includes: urine examination results, renal function examination results, renal color ultrasound examination results, electronic computer tomography renal artery angiography, immune-related index examination results, renal puncture or renal histopathology examination results;
the diagnosis service module 2 is communicated with the personal information recording module 1 through a data communication bus, and outputs a new diagnosis result according to the input personal related information and the kidney disease examination result related information or the previous diagnosis result, the personal related information and the kidney disease examination related information stored by the calling control processing module 4;
the connection control module 3 is connected with the diagnosis service module 2 through a gateway interface to realize data sharing of different diagnosis service modules 2;
and the control processing module 4 is connected with the information input module 1 and the connection control module 3, stores the diagnosis result, the personal related information and the kidney disease examination related information, and receives an instruction of calling the previous diagnosis result, the personal related information and the kidney disease examination related information by the diagnosis service module 2.
The working principle and the beneficial effects of the technical scheme are as follows: the invention inputs personal relevant information and kidney disease examination result relevant information through the information input module; the diagnosis service module outputs a diagnosis result according to the input personal relevant information and the relevant information of the kidney disease examination result; the kidney disease examination results are all input, so that convenience is provided for doctors to diagnose in time, the time for patients to wait for paper reports is saved, and the diagnosis efficiency is improved; the connection control module connects the plurality of diagnosis service modules, so that different diagnosis service modules can conveniently realize information sharing of patients, and the operation efficiency of the diagnosis service modules is improved; the control processing module stores the diagnosis result, realizes the storage and backup of data and provides reference data for subsequent diagnosis and treatment.
Example 2
On the basis of embodiment 1, the information entry module 1 provided in the embodiment of the present invention specifically includes:
an acquisition unit for acquiring personal related information and kidney disease examination result related information;
the loading unit is used for loading a corresponding information entry page according to the acquired personal relevant information and the acquired relevant information of the kidney disease examination result;
the identification unit is used for identifying and loading at least one item to be input included on the corresponding information input page;
the entry unit is used for acquiring information to be entered corresponding to the items to be entered aiming at each item to be entered in the at least one item to be entered identified by the identification unit and entering the information to be entered into an information entry column of the items to be entered on the information entry page;
and the storage unit is used for storing the information to be recorded, which is recorded in the information recording column, into the control processing module.
The working principle and the beneficial effects of the technical scheme are as follows: the loading unit loads a corresponding information input page according to the acquired personal relevant information and the acquired relevant information of the kidney disease examination result; the identification unit identifies and loads at least one item to be input included on the corresponding information input page; the entry unit acquires information to be entered corresponding to the items to be entered aiming at each item to be entered in the at least one item to be entered identified by the identification unit, and enters the information to be entered into an information entry column of the items to be entered on the information entry page; the input speed and efficiency of the personal relevant information and the kidney disease examination result relevant information are improved through the loading unit, the identification unit and the input unit, the diagnosis service module is convenient to fetch the personal relevant information and the kidney disease examination result relevant information in time, and the diagnosis efficiency of kidney diseases is improved; meanwhile, the storage efficiency of the personal related information and the related information of the kidney disease examination result is improved, the functions of the kidney disease clinical diagnosis service system are enriched, and the intelligent level of the system is improved.
Example 3:
on the basis of embodiment 1, the diagnostic service module 2 provided in the embodiment of the present invention specifically includes:
the request sending unit is used for sending request information for calling the personal related information and the kidney disease examination result related information stored in the control processing module;
the request encryption unit is used for encrypting the request information sent by the request sending unit, generating encrypted request information and sending the encrypted request information to the control processing module;
the safety authentication unit is used for carrying out safety authentication on the encrypted request information, and calling the stored personal related information and the stored related information of the kidney disease examination result if the safety authentication is passed; and if the safety certification is not passed, refusing to call the stored personal related information and the stored related information of the kidney disease examination result.
The working principle and the beneficial effects of the technical scheme are as follows: the invention request sending unit sends out request information for calling the personal relevant information and the kidney disease examination result relevant information stored in the control processing module; the request encryption unit encrypts the request information sent by the request sending unit to generate encrypted request information and sends the encrypted request information to the control processing module; the safety authentication unit carries out safety authentication on the encrypted request information, and if the safety authentication is passed, the stored personal related information and the stored related information of the kidney disease examination result are called; if the security authentication is not passed, the stored personal related information and the stored related information of the kidney disease examination result are refused to be called, and the privacy of the personal related information and the related information of the kidney disease examination result is improved and the personal related information and the related information of the kidney disease examination result are ensured not to be leaked by encrypting the request information and performing the security authentication.
Example 4
As shown in fig. 2, based on embodiment 1, the clinical diagnosis service method for renal disease provided by the embodiment of the present invention includes the following steps:
s201: inputting personal relevant information and kidney disease examination result relevant information;
s202: outputting a new diagnosis result according to the input personal relevant information and the relevant information of the kidney disease examination result or the previous diagnosis result, the personal relevant information and the relevant information of the kidney disease examination stored by the calling control processing module;
s203: data sharing of different diagnosis service modules is realized;
s204: and storing the diagnosis result, the personal relevant information and the kidney disease examination relevant information, and receiving an instruction of calling the conventional diagnosis result, the personal relevant information and the kidney disease examination relevant information by the diagnosis service module.
The working principle and the beneficial effects of the technical scheme are as follows: the invention outputs a new diagnosis result according to the input personal relevant information and the relevant information of the kidney disease examination result or the previous diagnosis result, the personal relevant information and the relevant information of the kidney disease examination stored by the calling control processing module; storing the diagnosis result, the personal relevant information and the kidney disease examination relevant information, and receiving an instruction of calling the previous diagnosis result, the personal relevant information and the kidney disease examination relevant information by the diagnosis service module; meanwhile, data sharing of different diagnosis service modules is realized; the invention provides convenience for doctors to diagnose in time, saves the time for patients to wait for paper reports and improves the diagnosis efficiency; the data storage and backup are realized, and reference data are provided for subsequent diagnosis and treatment.
Example 5
As shown in fig. 3, on the basis of embodiment 4, the method for requesting encryption of previous diagnosis results, personal related information, and kidney disease examination related information stored in a retrieval control processing module according to an embodiment of the present invention specifically includes:
s301: when a request for calling the previous diagnosis result, the personal relevant information and the kidney disease examination relevant information stored by the control processing module is sent, generating corresponding request messages of the previous diagnosis result, the personal relevant information and the kidney disease examination relevant information;
s302: calculating the request message by adopting a Hash algorithm comprising a plurality of Hash algorithm IP cores to obtain a request message abstract;
s303: encrypting the request message digest by using a signature private key to obtain a request message signature; the signature private key is generated by calculation by utilizing a signature master private key and a unique identifier corresponding to the diagnosis service module;
s304: encrypting the request message, the request message digest and the request message signature by using an encrypted master public key and the unique identifier to obtain a request message ciphertext;
s305: and sending the unique identifier and the request message ciphertext to the control processing module.
The working principle and the beneficial effects of the technical scheme are as follows: the request message is calculated by adopting the Hash algorithm comprising a plurality of Hash algorithm IP cores to obtain the summary of the request message, so that the calculation efficiency of the Hash algorithm is improved; the request message digest is encrypted by using the signature private key, so that the protection of the diagnosis result, the personal related information and the kidney disease examination related information is realized, the privacy of the patient is well protected, and the corresponding diagnosis result, the personal related information and the kidney disease examination related information can be conveniently found by encryption.
Example 6
On the basis of embodiment 4, the implementation of data sharing among different diagnostic service modules provided in the embodiment of the present invention specifically includes:
the diagnosis service module carries out similarity calculation on the treatment records including kidney disease drug selection, the use mode of kidney disease drugs, the use dosage of kidney disease drugs, the use frequency of kidney disease drugs and the use cycle of kidney disease drugs;
clustering with the similarity as a reference standard, wherein a typical treatment scheme is a kidney disease treatment record in a clustering result core area;
and (5) obtaining a renal disease patient population to provide a treatment scheme.
The working principle and the beneficial effects of the technical scheme are as follows: according to the invention, similarity calculation is carried out on treatment records including kidney disease drug selection, kidney disease drug use modes, kidney disease drug use doses, kidney disease drug use frequency and kidney disease drug use period, clustering is carried out according to the similarity, so that treatment schemes of kidney disease patient groups are obtained, intelligentization of kidney disease treatment scheme determination is realized, patients with kidney diseases are timely hospitalized, treatment time is shortened, and an optimal treatment scheme is determined.
Example 7
On the basis of embodiment 6, the similarity calculation provided by the embodiment of the present invention specifically includes:
carrying out structural analysis on information sets of kidney disease drug selection, kidney disease drug use modes, kidney disease drug use doses, kidney disease drug use frequency and kidney disease drug use cycle treatment records, and classifying according to the importance of each information;
classifying the information, and classifying according to the selection of the kidney disease drugs, the use mode of the kidney disease drugs, the use dosage of the kidney disease drugs, the use frequency of the kidney disease drugs and the treatment record of the use period of the kidney disease drugs in the information set;
extracting characteristic items of each piece of information in the information set after classification processing;
and carrying out similarity calculation on the extracted feature items.
The working principle and the beneficial effects of the technical scheme are as follows: the method carries out structural analysis on information sets of kidney disease drug selection, kidney disease drug use mode, kidney disease drug use dosage, kidney disease drug use frequency and kidney disease drug use cycle treatment records, carries out classification processing, extracts characteristic items, and finally carries out similarity calculation, improves the accuracy and precision of the similarity calculation, and ensures that a better kidney disease patient group can provide a treatment scheme.
Example 8
On the basis of embodiment 4, the storing of the diagnosis result, the personal related information, and the kidney disease examination related information provided by the embodiment of the present invention specifically includes: assume that the set Q is used to store the point, K, of the present compression cycle MAX 、K MIN Respectively storing the maximum slope of the line segment P and the minimum slope of the line segment T, wherein the array w is used for storing the weight coefficient of each point of the set Q; set Q ═ V 1 …V n Is the time series-based raw data, where i<j, and 1<i<k<j<n，V i For compressing the periodic memory points, V j For the current farthest key data point, V k The point with the maximum slope of the line connecting with the point A is the line sections AB and V k 、V j Constructing a parallelogram; AB is at the starting point V 1 The upper end point and the lower end point of a line segment with the midpoint length of 2 delta E and vertical to the X axis;
1): setting the storage point of the last compression cycle as V i Reading in the current farthest key data point V j Add it to the set Q;
2): calculating the current farthest key data point V j Slope from two endpoints A
Figure BDA0003699659570000101
Calculating the current farthest key data point V j Slope from two end points B
Figure BDA0003699659570000102
If it is not
Figure BDA0003699659570000103
Then the
Figure BDA0003699659570000104
If it is used
Figure BDA0003699659570000105
Then
Figure BDA0003699659570000106
Maximum value K of slope of connecting line of midpoint and point A in set Q MAX Minimum value K of slope of connecting line of midpoint and point B in set Q MIN ；
And step 3): judgment of K MAX ＞K MIN If true, then V j-1 As key data points, V j-1 Represents the current farthest key data point V j Otherwise go to step 1);
and step 4): calculating V j-1 Estimated best data point V' j-1 First, the weight coefficient ω of each point in the set Q set is calculated k Calculating V 0 Slope k of the point v1v0 ＝(V k -V i -ΔE)(j-i)/(k-i)+V i (ii) a Estimating optimal data point value V' j-1 ＝V 0 +ΔμΔE，V k Is the maximum slope point of the connecting line of the point A and k is the slope;
step 5): store the best data point V' j-1 Go to step 1).
The working principle and the beneficial effects of the technical scheme are as follows: the set Q is a set of diagnosis results, personal related information and kidney disease examination related information, and a maximum parallelogram is constructed to search a farthest key data point so as to improve the compression rate; the slope is used to determine whether each point should be compressed to reduce the data compression time, and the estimate of the farthest key data point is referred to herein as the best key data point. The invention improves the storage efficiency of the diagnosis result, the personal relevant information and the kidney disease examination relevant information, reduces the compression time of the relevant southwest and west and well utilizes the storage space.
Example 9
On the basis of embodiment 7, the similarity provided by the embodiment of the present invention is calculated as: firstly, calculating an SSD coefficient of a characteristic item, assuming that an ith characteristic vector value in the characteristic item is vector (i) for an N-dimensional characteristic vector stored in the characteristic item, and the ith characteristic vector value in treatment records of selection of renal disease drugs to be matched, a renal drug use mode, a renal disease drug use dosage, a renal disease drug use frequency and a renal disease drug use period is Co _ vector (i);
then the
SSD ^2+ (Co _ Vector (2) -Vector (2)) ^2+ … (Co _ Vector (N) -Vector (N)) ^2, and the similarity operator is 1-SSD/N, wherein N is the dimension of the Vector and SSD is the SSD coefficient of the Vector.
The working principle and the beneficial effects of the technical scheme are as follows: the invention carries out classification processing on each information according to the selection of the drugs for the kidney diseases, the use mode of the drugs for the kidney diseases, the use dosage of the drugs for the kidney diseases, the use frequency of the drugs for the kidney diseases and the treatment record of the use cycle of the drugs for the kidney diseases in the information set; extracting characteristic items of each piece of information in the information set after classification processing; the extracted characteristic items are subjected to similarity calculation to obtain a treatment scheme of the renal disease drug selection, the renal disease drug use mode, the renal disease drug use dosage, the renal disease drug use frequency and the renal disease drug use cycle treatment record which have the highest similarity with the current patient to be diagnosed, and the preliminary diagnosis of the disease is made by combining the experience knowledge of medical image experts, so that important reference is provided for disease diagnosis, the accuracy and efficiency of diagnosis are effectively improved, and the workload of doctors is greatly reduced.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (10)

1. A clinical diagnostic service system for renal diseases, comprising:
the information input module is used for inputting personal related information and related information of a kidney disease examination result;
the diagnosis service module outputs a new diagnosis result according to the input personal relevant information and the relevant information of the kidney disease examination result or the previous diagnosis result, the personal relevant information and the relevant information of the kidney disease examination stored by the calling control processing module;
the control module is connected to realize data sharing of different diagnosis service modules;
and the control processing module is used for storing the diagnosis result, the personal related information and the kidney disease examination related information and receiving the instruction called by the diagnosis service module.
2. The clinical diagnostic service system for renal diseases according to claim 1, wherein the personal related information inputted by the information entry module comprises: name, sex, age, history of allergies and history of taking medication.
3. The clinical diagnostic service system for renal diseases according to claim 1, wherein the information related to the renal disease examination result inputted by the information entry module comprises: urine examination results, renal function examination results, renal color ultrasound examination results, computerized tomography renal artery angiography, immune-related index examination results, renal puncture or renal histopathology examination results.
4. The clinical diagnostic service system for kidney diseases according to claim 1, wherein the diagnostic service module is communicated with the personal information entry module through a data communication bus;
the connection control module is connected with the diagnosis service module through a gateway interface;
and the control processing module is connected with the information input module and the connection control module.
5. The clinical diagnostic service system for renal diseases according to claim 1, wherein the information entry module specifically comprises:
an acquisition unit for acquiring personal related information and kidney disease examination result related information;
the loading unit is used for loading a corresponding information entry page according to the acquired personal relevant information and the acquired relevant information of the kidney disease examination result;
the identification unit is used for identifying and loading at least one item to be input included on the corresponding information input page;
the entry unit is used for acquiring information to be entered corresponding to the items to be entered aiming at each item to be entered in the at least one item to be entered identified by the identification unit and entering the information to be entered into an information entry column of the items to be entered on the information entry page;
and the storage unit is used for storing the information to be recorded, which is recorded in the information recording column, into the control processing module.
6. The clinical diagnostic service system for renal diseases as claimed in claim 1, wherein the diagnostic service module specifically comprises:
the request sending unit is used for sending request information for calling the personal related information and the kidney disease examination result related information stored in the control processing module;
the request encryption unit is used for encrypting the request information sent by the request sending unit, generating encrypted request information and sending the encrypted request information to the control processing module;
the safety authentication unit is used for carrying out safety authentication on the encrypted request information, and calling the stored personal related information and the stored related information of the kidney disease examination result if the safety authentication is passed; and if the safety certification is not passed, refusing to call the stored personal related information and the stored related information of the kidney disease examination result.
7. A clinical diagnosis service method for kidney diseases is characterized by comprising the following steps:
inputting personal relevant information and kidney disease examination result relevant information;
outputting a new diagnosis result according to the input personal relevant information and the relevant information of the kidney disease examination result or calling the previous diagnosis result, the personal relevant information and the relevant information of the kidney disease examination stored by the control processing module;
data sharing of different diagnosis service modules is realized;
and storing the diagnosis result, the personal relevant information and the kidney disease examination relevant information, and receiving an instruction of calling the conventional diagnosis result, the personal relevant information and the kidney disease examination relevant information by the diagnosis service module.
8. The clinical diagnosis service method for renal diseases according to claim 7, wherein the request encryption method for retrieving past diagnosis results, personal related information and renal disease examination related information stored in the control processing module specifically comprises:
when a request for calling the previous diagnosis result, the personal relevant information and the kidney disease examination relevant information stored by the control processing module is sent, generating corresponding request messages of the previous diagnosis result, the personal relevant information and the kidney disease examination relevant information;
calculating the request message by adopting a Hash algorithm comprising a plurality of Hash algorithm IP cores to obtain a request message abstract;
encrypting the request message digest by using a signature private key to obtain a request message signature; the signature private key is generated by calculation by using a signature master private key and a unique identifier corresponding to the diagnosis service module;
encrypting the request message, the request message digest and the request message signature by using an encrypted master public key and the unique identifier to obtain a request message ciphertext;
and sending the unique identifier and the request message ciphertext to the control processing module.
9. The clinical diagnostic service method for renal diseases as claimed in claim 7, wherein the data sharing among different diagnostic service modules is realized by:
the diagnosis service module carries out similarity calculation on treatment records including kidney disease drug selection, kidney disease drug use modes, kidney disease drug use doses, kidney disease drug use frequency and kidney disease drug use periods;
clustering with the similarity as a reference standard, wherein a typical treatment scheme is a treatment record of the kidney diseases in a clustering result core area;
and (5) obtaining a renal disease patient population to provide a treatment scheme.
10. The clinical diagnostic service method for renal diseases according to claim 9, wherein the similarity calculation specifically includes:
carrying out structural analysis on information sets of kidney disease drug selection, kidney disease drug use modes, kidney disease drug use doses, kidney disease drug use frequency and kidney disease drug use cycle treatment records, and classifying according to the importance of each information;
classifying the information according to the selection of the kidney disease drugs, the use mode of the kidney disease drugs, the use dosage of the kidney disease drugs, the use frequency of the kidney disease drugs and the use cycle treatment record of the kidney disease drugs in the information set;
extracting characteristic items of each piece of information in the information set after classification processing;
and carrying out similarity calculation on the extracted feature items.
CN202210721401.0A 2022-06-17 2022-06-17 Kidney disease clinical diagnosis service system and method Pending CN115101212A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115831370A (en) * 2023-02-13 2023-03-21 天津医科大学朱宪彝纪念医院(天津医科大学代谢病医院、天津代谢病防治中心) Kidney disease risk prediction system for multi-step detection and synchronous integration analysis
CN116705340A (en) * 2023-04-07 2023-09-05 中南大学湘雅三医院 Public health intelligent monitoring system and method based on blockchain

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115831370A (en) * 2023-02-13 2023-03-21 天津医科大学朱宪彝纪念医院(天津医科大学代谢病医院、天津代谢病防治中心) Kidney disease risk prediction system for multi-step detection and synchronous integration analysis
CN116705340A (en) * 2023-04-07 2023-09-05 中南大学湘雅三医院 Public health intelligent monitoring system and method based on blockchain
CN116705340B (en) * 2023-04-07 2024-02-02 中南大学湘雅三医院 Public health intelligent monitoring system and method based on blockchain

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