WO2017152638A1

WO2017152638A1 - System and method for medical big data analysis and processing based on webpage browsing

Info

Publication number: WO2017152638A1
Application number: PCT/CN2016/104131
Authority: WO
Inventors: 张贯京
Original assignee: 深圳市前海安测信息技术有限公司
Priority date: 2016-03-10
Filing date: 2016-10-31
Publication date: 2017-09-14
Also published as: CN105825044A

Abstract

Provided are a system and method for medical big data analysis and processing based on webpage browsing. The method comprises: searching medical data of a patient for a contact of the patient (S11); obtaining medical webpages browsed by the patient from a telecom operator according to the contact of the patient (S12); analyzing the medical webpages to obtain a second disease set with which the patient is concerned when browsing the medical webpages (S13); obtaining, according to the second disease set and a first disease set, a third disease set of potential diseases from which the patient may suffer (S14); obtaining a contact of a doctor associated with the third disease set from a hospital information system, and asking the doctor to make a prevention scheme for corresponding diseases in the third disease set (S16); and transmitting the prevention scheme to a client held by the patient (S17), so as to prompt the patient to take measures to prevent the potential diseases. The risk of the patient suffering from potential diseases can be known, and a prevention scheme can be made in time, so that the risk of the patient suffering from the potential diseases is reduced.

Description

Title: Invention Name: Medical Big Data Analysis and Processing System and Method Based on Web Page Viewing Technical Field

[0001] The present invention relates to the field of medical big data, and in particular, to a medical big data analysis and processing system and method based on web browsing.

Background technique

[0002] In recent years, with the rapid development of the Internet, cloud computing, and the Internet of Things, ubiquitous mobile devices, RF IDs, and wireless sensors generate data every minute, and hundreds of millions of users' Internet services are engraved. In the huge amount of interaction, the amount of data to be processed is huge, and the data is always growing at a rate of 50% per year. Business demand and competitive pressure put forward higher requirements for the practicality and effectiveness of data processing. The conventional technical means cannot be dealt with at all. Therefore, Big Data has become a recent technology hotspot and has attracted widespread attention.

[0003] Big data technology can accelerate medical conjecture and discover the transformation of medical practice: With the growing private and public medical data, big data technology helps people store and manage medical big data and from large volume, high complexity The value of the data will be extracted, and related medical technologies and products will continue to emerge, which will likely open up a new golden generation for the medical industry.

[0004] However, the current medical data analysis system analyzes and processes the medical big data, and does not consider the factors of the user browsing the webpage, and does not analyze and process the medical big data based on the webpage browsing. The patient is not exposed to a potential risk of illness.

technical problem

[0005] The main object of the present invention is to provide a medical big data analysis and processing system and method based on web browsing, which aims to solve the technical problem that no analysis and processing based on web pages are performed in the process of medical big data processing.

Problem solution

Technical solution

[0006] In order to achieve the above object, the present invention provides a medical big data analysis and processing system based on web browsing, running in a data center, the data center through a network and a hospital information system, a client and a telecommunications The operator connects, the medical big data analysis and processing system includes:

[0007] an obtaining module, configured to acquire medical data from the hospital information system, where the medical data includes a first disease set of the patient;

[0008] a search module, configured to search for the contact information of the patient from the medical data;

[0009] the obtaining module is further configured to acquire, from the telecommunications carrier, a medical webpage browsed by the patient according to the contact manner of the patient;

[0010] an analysis module, configured to analyze the medical webpage, and obtain a second disease set that the patient browses the medical webpage;

[0011] a comparison module, configured to compare the second disease set with the first disease set, and obtain a third disease set of the patient suffering from a potential disease according to the comparison result;

[0012] the obtaining module is configured to: when the number of browsing of the medical webpage corresponding to the third disease set exceeds a browsing preset value, obtain, from the hospital information system, a doctor's contact related to the third disease set And informing the doctor to formulate a prevention plan for preventing a corresponding disease in the third disease collection according to the doctor's contact information; and

[0013] a sending module, configured to send the prevention program to a client held by the patient to remind the patient to prevent potential diseases.

[0014] Preferably, the medical data further includes a patient name, a patient's age, a diseased condition, a disease cause, a disease diagnosis information, a drug name, a drug quantity, a doctor name, a doctor's office, and a fee.

[0015] Preferably, the acquiring module is specifically configured to:

[0016] obtaining access data from the telecommunications carrier according to the contact information of the patient, the access data including an access website address and a user name;

[0017] determining whether a patient name exists in a user name of the access data;

[0018] if there is a patient name in the user name of the access data, determining whether the access URL includes a field of a preset medical website;

[0019] if the access URL includes a field of a preset medical website, the web page linked by the visiting website is a medical webpage;

[0020] obtaining the medical webpage according to the visited webpage.

[0021] Preferably, the analysis module is specifically configured to: [0022] converting the medical webpage into a document format;

[0023] searching in a medical webpage of the document format by using a preset medical keyword; and

[0024] If the medical webpage includes a preset medical keyword, the preset medical keyword included in the medical webpage belongs to the second disease set that the patient pays attention to.

[0025] Preferably, the third disease set refers to a second disease subset remaining in the second disease set of the patient's attention except that the first disease set in the medical data overlaps.

[0026] In another aspect, the present invention further provides a medical big data analysis and processing method based on webpage browsing, which is applied to a data center, and the data center is connected to a hospital information system, a client, and a telecommunication operator through a network, Methods include:

Obtaining medical data from the hospital information system, the medical data including a first disease set of the patient;

[0028] searching for the contact information of the patient from the medical data;

[0029] obtaining, from the telecommunications carrier, the medical webpage browsed by the patient according to the contact information of the patient;

[0030] analyzing the medical webpage to obtain a second disease collection that the patient browses the medical webpage

[0031] comparing the second disease set with the first disease set, and obtaining a third disease set of the patient suffering from a potential disease according to the comparison result;

[0032] when the number of times of browsing of the medical webpage corresponding to the third disease set exceeds the browsing preset value, obtaining the contact information of the doctor related to the third disease set from the hospital information system, and according to the doctor Contacting the physician to develop a prevention program for preventing a corresponding disease in the third disease set; and [0033] transmitting the prevention program to a client held by the patient to alert the patient to prevention of a potential disease.

[0034] Preferably, the medical data further includes a patient name, a patient's age, a diseased condition, a disease cause, a disease diagnosis information, a drug name, a drug quantity, a doctor name, a doctor's office, and a fee.

[0035] Preferably, the step of obtaining the medical webpage browsed by the patient from the telecommunications carrier according to the contact manner of the patient comprises the following steps:

[0036] obtaining access data from the telecommunications carrier according to the contact manner of the patient, where the access data includes an access website address and a user name;

[0037] determining whether a patient name exists in a user name of the access data; [0038] if there is a patient name in the user name of the access data, determining whether the access URL includes a field of a preset medical website;

[0039] if the access URL includes a field of a preset medical website, the web page linked by the visiting website is a medical webpage;

[0040] obtaining the medical webpage according to the visited webpage.

[0041] Preferably, the step of obtaining the second disease set that the patient browses the medical webpage includes the following steps:

[0042] converting the medical webpage into a document format;

[0043] searching in a medical webpage of the document format by using a preset medical keyword; and

[0044] If the medical webpage includes a preset medical keyword, the preset medical keyword included in the medical webpage belongs to the second disease collection that the patient pays attention to.

[0045] Preferably, the third disease set refers to a second disease subset remaining in the second disease set of the patient's attention except that the first disease set overlaps with the medical data.

Advantageous effects of the invention

Beneficial effect

[0046] The present invention adopts the above technical solution, and brings the technical effects as follows: The webpage browsing-based medical big data analysis and processing system and method of the present invention combines the patient's behavior with the webpage of the patient's browsing webpage. Data analysis can understand the risk of a patient's underlying disease and develop a preventive program that reduces the risk of a patient's potential disease and indirectly improves the patient's health.

Brief description of the drawing

DRAWINGS

1 is a schematic diagram of an application environment of a medical big data analysis and processing system based on webpage browsing according to the present invention; [0048] FIG. 2 is a functional module of a preferred embodiment of a medical big data analysis and processing system based on webpage browsing of the present invention; Schematic diagram

3 is a flow chart of a preferred embodiment of a method for analyzing and processing medical macro data based on web browsing according to the present invention.

[0050] The implementation, functional features, and advantages of the present invention will be further described with reference to the accompanying drawings. BEST MODE FOR CARRYING OUT THE INVENTION

BEST MODE FOR CARRYING OUT THE INVENTION

The specific embodiments, structures, features and functions of the present invention are described in detail below with reference to the accompanying drawings and preferred embodiments. It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

Referring to FIG. 1, FIG. 1 is a schematic diagram of an application environment of a medical big data analysis and processing system based on web browsing according to the present invention. The web page based medical big data analysis and processing system 20 of the present invention operates in the data center 2. The data center 2 is communicatively coupled to one or more hospital information systems 1 (illustrated by three in FIG. 1) via the network 3 to acquire a plurality of medical data from the hospital information system 1. The medical data includes, but is not limited to, a patient's name, a patient's annual sputum, a diseased sputum, a first disease set (ie, a collection of the patient's disease name), a disease cause, a disease diagnosis information, a drug name, a drug quantity, Information such as the doctor's name, the department, the cost, and the patient's contact information (for example, email address, mobile number, and instant messaging account number).

[0053] The network 3 may be a wired communication network or a wireless communication network. The network 3 is preferably a wireless communication network including, but not limited to, a GSM network, a GPRS network, a CDMA network, a TD-SCDMA network, a WiMAX network, a TD-LTE network, an FDD-LTE network, and the like.

[0054] The data center 2 is communicatively connected to the one or more clients 4 (illustrated by three in FIG. 1) through the network 3, and transmits the medical data corresponding to the patient to the patient. In other embodiments, the data center 2 may further analyze and process the medical data, and pass the analyzed medical data (for example, medical data associated with the medical webpage browsed by the patient from the medical website). The network 3 is sent to the client 4 corresponding to the patient. It should be noted that the client 4 is held by a patient, and the patient can obtain the medical data through the client 4.

[0055] The data center 2 is communicatively connected to the telecommunication operator 5 via the network 3 for obtaining a medical web page browsed by the patient from the telecommunication operator 5. Specifically, the telecommunication operator 5 is configured to provide a communication service for a fixed telephone, a mobile phone, and an Internet access, and the patient uses a communication service provided by a telecommunication operator for Internet access, and the telecommunication operator 5 knows the patient. Access data accessed by the Internet, the access data includes data such as access time, access URL, user name, and the like. The telecommunications carrier 5 provides an API The device or the system accessing the API interface can obtain the access data of the patient accessing the Internet from the telecommunication operator 5. The data center 2 acquires the access data on the basis of the authorization of the telecommunication operator 5 (ie, authorizes access to the API interface provided by the telecommunication operator 5), and parses the access data to obtain a patient. Browse the medical webpage.

[0056] It should be noted that the data center 2 is a server of a cloud platform or a data center, and can better manage and/or assist with the data transmission capability and data storage capability of the cloud platform or the data center. The data center 2 is connected to the client 4, which helps the patient to understand his or her medical data.

[0057] The client 4 may be, but is not limited to, any other suitable portable electronic device such as a smart phone, a tablet computer, a personal digital assistant (PDA), a personal computer, an electronic signboard, and the like.

[0058] Referring to FIG. 2, it is a functional block diagram of a preferred embodiment of the medical big data analysis and processing system based on the web page browsing of the present invention. As shown in Fig. 1, in the present embodiment, the web page-based medical big data analysis and processing system 20 is applied to the data center 2. The data center 2 includes, but is not limited to, a web page based medical big data analysis and processing system 20, a storage unit 22, a processing unit 24, and a communication unit 26.

[0059] The storage unit 22 may be a read only storage unit ROM, an electrically erasable storage unit EEPRO

M, flash memory unit FLASH or solid hard disk.

[0060] The processing unit 24 may be a central processing unit (CPU), a microcontroller (MCU), a data processing chip, or an information processing unit having a data processing function.

[0061] The communication unit 26 is a wireless communication interface with remote wireless communication function, for example, support

GSM, GPRS, WCDMA, CDMA, TD-SCDMA, WiMAX, TD-LTE, FDD-LT

Communication interface of E and other communication technologies.

[0062] The webpage-based medical big data analysis and processing system 20 includes, but is not limited to, an acquisition module 200, a search module 210, an analysis module 220, a comparison module 230, a determination module 240, and a generation module 24

0 and a transmitting module 250, the module referred to in the present invention refers to a processing unit that can be used by the data center 2

A series of computer program instructions that execute and are capable of performing a fixed function, which are stored in the storage unit 22 of the data center 2.

[0063] The obtaining module 200 is configured to acquire medical data from the hospital information system 1, the medical data including a patient The first disease collection.

[0064] Specifically, the hospital information system 1 provides a data import interface (eg, an application program interface, an API), and a device or system that accesses the data import interface can be from the hospital information system. Get medical data in 1. The obtaining module 200 invokes an API interface provided by the hospital information system 1 to obtain medical data.

[0065] It should be noted that, since the medical data belongs to private information, in order to ensure information security, the medical data is sent to the data center 2, and the encryption and decryption algorithm is adopted (for example, the MD5 encryption and decryption algorithm and the RSA encryption and decryption algorithm). DES encryption and decryption algorithm, DSA encryption and decryption algorithm, AES encryption and decryption algorithm, etc.) The medical data is first encrypted and then transmitted to the data center 2.

[0066] The search module 210 is configured to search for the contact information of the patient from the medical data. Specifically, the search module 210 searches for the contact information of the patient in the medical data by means of keyword search. For example, using "telephone" or "mailbox" or "immediate communication" as a key, retrieve the contact information of the patient in the medical data.

[0067] The obtaining module 200 is configured to obtain the medical webpage browsed by the patient from the telecommunications carrier 5 according to the contact manner of the patient.

[0068] The step of obtaining the medical webpage browsed by the patient from the telecommunications carrier 5 according to the contact manner of the patient includes the following steps:

[0069] (1) acquiring the access data from the telecommunications carrier 5 according to the contact information of the patient, where the access data includes an access time, a visiting website address, a user name, a browsing number of the visiting website, and the like; The access data stored in the telecommunication carrier 5 is associated with a contact mode. For example, the user A accesses the Internet through a mobile phone, and the Internet access service provided by the telecommunication carrier 5 is associated with the contact mode of the user A (eg, a mobile phone number). Through the mobile phone number of the user A, the access data of the user A can be queried at the telecommunication carrier 5.

[0070] (2) determining whether a patient name exists in the user name of the access data;

[0071] (3) if the patient name exists in the user name of the access data, obtaining an access network address in the access data;

[0072] (4) determining whether the access URL includes a field of a preset medical website, for example, if the field of the preset medical website is 39.net, an access URL is http://jbk.39.net/xc /yfl l/, then the access URL package a field with a preset medical URL;

[0073] (5) if the access URL includes a field of a preset medical website, the web page linked by the access website is a medical webpage;

[0074] (6) acquiring the medical webpage according to the visited webpage.

[0075] The analysis module 220 is configured to analyze the medical webpage to obtain a second disease set (ie, a collection of disease names that the patient pays attention to from the medical webpage) that the patient browses the medical webpage.

[0076] the step of obtaining the second disease set that the patient browses the medical webpage includes the following steps: [0077] (1) converting the medical webpage into a document format, for example, converting into an XML document format;

[0078] (2) performing a search by using a preset medical keyword in the medical webpage of the document format; and

[0079] (3) if the medical webpage content includes a preset medical keyword (ie, a preset disease name) 吋

And the preset medical keyword included in the medical webpage belongs to the second disease collection that the patient pays attention to.

[0080] The comparison module 230 is further configured to compare the second disease set with a first disease set in the medical data, and obtain a third disease set of the patient suffering from a potential disease according to the comparison result. The third set of diseases refers to a second subset of diseases in the second set of diseases of interest to the patient that are removed from overlapping with the first set of diseases in the medical data.

The determining module 240 is configured to determine whether the number of browsing of the medical webpage corresponding to the third disease set exceeds a browsing preset value (for example, the browsing preset value is five times).

[0082] The obtaining module 200 is configured to acquire, from the hospital information system 1, a contact information of a doctor related to the third disease set when the number of times of browsing of the medical webpage corresponding to the third disease set exceeds a preset value of browsing And informing the doctor according to the contact information of the doctor to formulate a prevention plan for preventing the corresponding disease in the third disease set. The prevention scheme can be sent to the client 4 in text, voice and/or audio and video. For example, in the present embodiment, the prevention scheme is as follows: "Respected M, according to the medical webpage you visited in the last week, you have searched the asthma-related medical webpage thirty times, we are based on your medical treatment. Data analysis to push you about asthma prevention programs, please be aware that the following asthma prevention programs, please refer to: (1) to avoid crowds; (2) go out, please carry N95 model mask; (3) keep warm, In particular, ensure that the head, chest and back are warm to avoid cold; (4) Check the symptoms of asthma with physical examination; ( ₅ ) Different types of asthma: If the following symptoms are met, for example, Symptom 1: XXX, Symptom 2: YYY, Symptom 3: Hey, please go to the hospital for detailed examination, or you can contact Dr. Zhang directly, the contact method is _{0755- ΧΧΧΧΧΧΧΧ} . Finally, I wish you good health! . "

[0083] The sending module 250 is configured to send the prevention program to the client 4 held by the patient to remind the patient to pay attention to prevent potential diseases.

Referring to FIG. 3, it is a flowchart of a preferred embodiment of the medical big data analysis and processing method based on web browsing of the present invention. In this embodiment, the web page-based medical big data analysis and processing method is applied to the data center 2, and the method includes the following steps:

[0085] Step S10: The obtaining module 200 acquires medical data from the hospital information system 1, and the medical data includes a first disease set of the patient.

[0086] Specifically, the hospital information system 1 provides a data import interface (eg, an application program interface, an API), and a device or system that accesses the data import interface can be from the hospital information system. Get medical data in 1. The obtaining module 200 invokes an API interface provided by the hospital information system 1 to obtain medical data.

[0087] It should be noted that, since the medical data belongs to private information, in order to ensure information security, the medical data is sent to the data center 2, and the encryption and decryption algorithm is adopted (for example, the MD5 encryption and decryption algorithm and the RSA encryption and decryption algorithm). DES encryption and decryption algorithm, DSA encryption and decryption algorithm, AES encryption and decryption algorithm, etc.) The medical data is first encrypted and then transmitted to the data center 2.

[0088] Step S11: The search module 210 searches for the contact information of the patient from the medical data. Specifically

The search module 210 searches for the contact information of the patient in the medical data by means of keyword search. For example, using "telephone" or "mailbox" or "immediate communication" as a key, retrieve the contact information of the patient in the medical data.

[0089] Step S12: The obtaining module 200 acquires the medical webpage browsed by the patient from the telecommunications carrier 5 according to the contact manner of the patient.

[0090] The manner of obtaining the medical webpage browsed by the patient from the telecommunications carrier 5 according to the contact manner of the patient is:

[0091] (1) acquiring the access data from the telecommunications carrier 5 according to a contact manner of the patient, where the access data includes an access time, an access website, a user name, a browsing number of the visited website, and the like; The access data saved in the telecommunications carrier 5 is associated with a contact method, for example, the user A is on the mobile phone. The Internet access service provided by the telecommunication carrier 5 is associated with the contact mode of the user A (eg, a mobile phone number), and the user A can be queried by the service provider 5 via the mobile phone number of the user A. Access to data.

[0092] (2) determining whether a patient name exists in the user name of the access data;

[0093] (3) if the patient name exists in the user name of the access data, obtaining an access network address in the access data;

[0094] (4) determining whether the access URL includes a field of a preset medical website, for example, if the field of the preset medical website is 39.net, an access URL is http://jbk.39.net/xc /yfl l/, the access URL includes a field of a preset medical website;

[0095] (5) if the access URL includes a field of a preset medical website, the webpage linked by the visiting website is a medical webpage;

[0096] (6) acquiring the medical webpage according to the visited webpage.

[0097] Step S13: The analysis module 220 analyzes the medical webpage to obtain a second disease set that the patient browses the medical webpage.

[0098] The manner of obtaining the second disease collection that the patient browses the medical webpage is as follows:

[0099] (1) converting the medical webpage into a document format, for example, converting into an XML document format;

[0100] (2) searching in a medical webpage of the document format by a preset medical keyword (ie, a preset disease name); and

[0101] (3) If the medical webpage content includes a preset medical keyword, the preset medical keyword included in the medical webpage belongs to the second disease collection that the patient pays attention to.

[0102] Step S14: The comparison module 230 compares the second disease set of the patient's attention with the first disease set in the medical data to obtain a third disease set of the patient suffering from the underlying disease. The third set of diseases refers to a second subset of diseases in the second set of diseases of interest to the patient that are removed from overlapping with the first set of diseases in the medical data.

[0103] Step S15: The determining module 240 determines whether the number of browsing of the medical webpage corresponding to the third disease set exceeds a browsing preset value (for example, the browsing preset value is five times). Specifically, when the number of times of browsing of the medical webpage corresponding to the third disease set exceeds the browsing preset value, the flow proceeds to step S16. Otherwise, when the number of browsing of the medical webpage corresponding to the third disease set does not exceed the browsing preset value吋 Go back to step S12.

[0104] Step S16: When the number of times of browsing of the medical webpage corresponding to the third disease set exceeds the browsing preset value, the obtaining module 200 acquires the contact of the doctor related to the third disease set from the hospital information system 1. And informing the doctor to formulate a prevention plan for the corresponding disease in the third disease set according to the doctor's contact information. The prevention scheme can be sent to the client 4 in text, voice and/or audio and video. For example, in the present embodiment, the prevention scheme is as follows: "Respected M, according to the medical webpage you visited in the last week, you have searched the asthma-related medical webpage thirty times, we are based on your medical treatment. Data analysis to push you about asthma prevention programs, please be aware, the following are asthma prevention programs, please refer to: (1) to avoid crowds; (2) go out, please carry N95 model mask; (3) keep warm, In particular, ensure that the head, chest and back are warm to avoid coldness; (4) Check the symptoms of asthma with physical examination; ( ₅ ) Different types of asthma: If the following symptoms are met, for example, Symptom 1: XXX, Symptom 2: YYY, Symptom 3: Hey, please go to the hospital for a detailed examination, or you can contact Dr. Zhang directly, the contact information is _0755- 。. Finally, I wish you good health!

[0105] Step S17: The sending module 250 sends the prevention program to the client 4 held by the patient to remind the patient to prevent potential diseases.

The above are only the preferred embodiments of the present invention, and are not intended to limit the scope of the invention, and the equivalent structure or equivalent process transformations made by the description of the present invention and the contents of the drawings may be directly or indirectly applied to other related The technical field is equally included in the scope of patent protection of the present invention.

Industrial applicability

[0107] The present invention adopts the above technical solution, and brings the technical effects as follows: The webpage browsing-based medical big data analysis and processing system and method of the present invention, combined with the web page of the patient's browsing, the behavior of the patient is large Data analysis can understand the risk of a patient's underlying disease and develop a preventive program that reduces the risk of a patient's potential disease and indirectly improves the patient's health.

Claims

Claim

[Claim 1] A medical page big data analysis and processing system based on web browsing, running in a data center, wherein the data center is connected to a hospital information system, a client, and a telecommunication operator through a network, the medical The big data analysis and processing system includes: an acquisition module, configured to acquire medical data from the hospital information system, the medical data including a first disease set of the patient; and a search module, configured to search the patient from the medical data The obtaining module is further configured to obtain a medical webpage browsed by the patient from the telecom operator according to the contact manner of the patient; and an analyzing module, configured to analyze the medical webpage, and obtain the patient browsing medical a second disease set that is of interest to the web page; a comparison module, configured to compare the second disease set with the first disease set, and obtain a third disease set of the patient with a potential disease according to the comparison result; a module, used for browsing the medical webpage corresponding to the third disease set Obtaining a contact information of a doctor associated with the third disease set from the hospital information system, and notifying the doctor to formulate a corresponding disease in the third disease set according to the doctor's contact information a prevention program; and a sending module, configured to send the prevention program to a client held by the patient to remind the patient to prevent potential diseases.

[Claim 2] The webpage-based medical big data analysis and processing system according to claim 1, wherein the medical data further includes a patient name, a patient's age, a diseased day, a disease cause, and a disease. Diagnostic information, drug name, number of drugs, doctor's name, clinic and cost.

[Claim 3] The webpage-based medical big data analysis and processing system according to claim 2, wherein the obtaining module is specifically configured to: obtain an access from the telecom operator according to the contact mode of the patient Data, the access data includes an access URL and a user name; determining whether there is a patient name in the user name of the access data; if the patient name exists in the user name of the access data, determining whether the access URL includes a preset a field of the medical website; if the access URL includes a field of a preset medical website, the web page linked by the visiting website is a medical webpage; and the medical webpage is obtained according to the visiting webpage.

[Claim 4] The webpage-based medical big data analysis and processing system according to claim 3, wherein the analysis module is specifically configured to: convert the medical webpage into a document format; The medical webpage of the format is searched by a preset medical keyword; and if the medical webpage includes a preset medical keyword, the preset medical keyword included in the medical webpage belongs to the patient's attention The second disease collection.

[Claim 5] The webpage-based medical big data analysis and processing system according to claim 1, wherein the third disease set refers to the second disease set that the patient is concerned with, and the The first disease set in the medical data overlaps the remaining second subset of diseases.

[Claim 6] A medical page data-based medical big data analysis and processing method, applied to a data center, wherein the data center is connected to a hospital information system, a client, and a telecommunication operator through a network, and the method includes Obtaining medical data from the hospital information system, the medical data including a first disease set of the patient; searching for the contact information of the patient from the medical data; obtaining the patient from the telecom operator according to the contact information of the patient Viewing the medical webpage; analyzing the medical webpage to obtain a second disease set that the patient browses the medical webpage; comparing the second disease set with the first disease set, and obtaining the a third disease set of the patient suffering from a potential disease; when the number of times of browsing of the medical webpage corresponding to the third disease set exceeds the browsing preset value, obtaining the contact of the doctor associated with the third disease set from the hospital information system Way, and notify the doctor to make a pre-determination according to the doctor's contact information Corresponding to a third set of disease prevention programs disease; and transmitting to the patient held by the client to remind the patient the prevention of the underlying disease prevention program.

[Claim 7] The webpage-based medical big data analysis and processing method according to claim 6, wherein the medical data further includes a patient name, a patient's age, a diseased day, a disease cause, and a disease. Diagnostic information, drug name, number of drugs, doctor's name, clinic and cost.

[Claim 8] The webpage-based medical big data analysis and processing method according to claim 7, wherein the step of obtaining the medical webpage browsed by the patient from the telecommunications carrier according to the contact information of the patient includes the following Step: According to the patient's contact information from the telecom Obtaining access data, the access data includes an access URL and a user name; determining whether there is a patient name in the user name of the access data; and if the patient name exists in the user name of the access data, determining whether the access URL is a field containing a preset medical website; if the access URL includes a field of a preset medical website, the web page linked by the visiting website is a medical webpage; and the medical webpage is obtained according to the visiting webpage.

[Claim 9] The webpage-based medical big data analysis and processing method according to claim 8, wherein the step of obtaining the second disease set that the patient browses the medical webpage 包括 includes the following steps: Converting the medical webpage into a document format; searching in a medical webpage of the document format by a preset medical keyword; and if the medical webpage includes a preset medical keyword, the The preset medical keyword in the medical web page belongs to the second set of diseases that the patient is concerned about.

[Claim 10] The webpage-based medical big data analysis and processing method according to claim 6, wherein the third disease set refers to the second disease set that the patient is concerned with, and the The first disease set in the medical data overlaps the remaining second subset of diseases.