CN106952020A - Doctor grading commending system and method for the medical information based on webpage - Google Patents
Doctor grading commending system and method for the medical information based on webpage Download PDFInfo
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- 201000010099 disease Diseases 0.000 claims abstract description 104
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Abstract
The present invention provides doctor grading commending system and method for a kind of medical information based on webpage, and this method includes：Medical data is obtained from the hospital information system of each hospital；The medical data of each hospital is parsed, disease type list is created according to disease type keyword；Medical news web page is obtained from search engine web site；Retrieved according to disease type list interior joint keyword in the medical news web page, and the medical news web page retrieved node corresponding with node key is associated；Each doctor in disease type list is scored according to the medical news web page retrieved；When patient is by client query correspondence disease, scoring highest doctor is recommended into patient, and be shown in the client of patient.Big data analysis can be carried out to medical data by implementing the present invention, so as to find corresponding doctor when facilitating patient, save the time of patient query.
Description
Technical field
Recommend the present invention relates to medical big data field, more particularly to a kind of doctor grading of medical information based on webpage
System and method.
Background technology
Recently as the fast development of internet, cloud computing and Internet of Things etc., immanent mobile device, RFID,
Every point of wireless senser is per second all to produce data, and the Internet service of hundreds of millions of users is at every moment producing the friendship of flood tide
Mutually, data volume to be processed is huge, and data all increase with annual 50% speed always, and business demand and competitive pressure pair
The real-time of data processing, validity have also been proposed requirements at the higher level, and traditional conventional technical means is unable to cope with all, therefore,
Big data technology (Big Data) turns into a recent hot technology, causes extensive attention.
The guess of medical science can be accelerated by big data technology, the conversion of medical practice is found to：By means of constantly growth
Secret and open medical data, big data technology helps the good medical big data of people's storage management simultaneously from the big scale of construction, high complexity
Extracting data value, related medical technology, product will be continued to bring out, it would be possible to medical industry open up one it is new
Golden age.
However, Analysis of Medical Treatment Data system at this stage is not examined when being analyzed and processed for medical big data
Consider factor when user usually browses webpage, also medical big data will not be analyzed and handled according to based on web page browsing,
Doctor can not be graded by big data, patient often will find corresponding doctor by substantial amounts of inquiry.
The content of the invention
It is a primary object of the present invention to provide doctor grading commending system and side of a kind of medical information based on webpage
Method, it is intended to solve existing to being not based on the skill that webpage is analyzed and handled and recommends doctor in medical big data processing procedure
Art problem.
To achieve the above object, the invention provides a kind of doctor grading commending system of medical information based on webpage,
Data center is run on, the data center is connected by network with hospital information system, client and search engine web site, institute
Stating doctor grading commending system of the medical information based on webpage includes：
Acquisition module, for obtaining medical data from the hospital information system of each hospital；
Creation module, is parsed for the medical data to each hospital, and disease is created according to disease type keyword
List of types；
The acquisition module, for obtaining medical news web page from search engine web site；
Relating module, for being examined according to disease type list interior joint keyword in the medical news web page
Rope, and the medical news web page retrieved node corresponding with node key is associated；
Grading module, for being commented according to the medical news web page retrieved each doctor in disease type list
Point；And
Display module, for when patient is by client query correspondence disease, scoring highest doctor to be recommended into trouble
Person, and be shown in the client of patient.
It is preferred that, the medical data also includes hospital name, patient's name, patient age, sick time, ill original
Cause, medical diagnosis on disease information, nomenclature of drug, Quantity of drugs, physician names, medical section office, expense, the contact method of patient and to doctor
Raw evaluation information.
It is preferred that, the disease type list is divided into three node layers, and the first node layer is disease name node, second layer section
Section office's node of point hospital where the disease type, third layer node is information about doctor node.
It is preferred that, the relating module specifically for：
(1) node key in disease type list is obtained, and whether has corresponding doctor by the key search
News web page is treated, wherein, the node key in disease type list can be some in nodename or node
Default keyword；
(2) judge whether the disease type list interior joint keyword has corresponding medical news web page；
(3) if when including the disease type list interior joint keyword in a medical news web page, it is described should
Medical news web page node corresponding with the node key is associated.
It is preferred that, the medical news web page that the basis is retrieved is scored each doctor in disease type list
Mode is calculated using equation below：Y=a*X1-b*X2+c+d, wherein, Y scorings, X1 is positive medical news web page
Quantity, X2 is the quantity of negative medical news web page, and c is the corresponding default value of hospital's qualification, and d is that doctor academic title is corresponding silent
Recognize value, a and b are preset parameter.
On the other hand, the present invention also provides a kind of doctor grading recommendation method of medical information based on webpage, is applied to
Data center, the data center is connected by network with hospital information system, client and search engine web site, this method bag
Include：
Medical data is obtained from the hospital information system of each hospital；
The medical data of each hospital is parsed, disease type list is created according to disease type keyword；
Medical news web page is obtained from search engine web site；
Retrieved according to disease type list interior joint keyword, and will be retrieved in the medical news web page
Medical news web page node corresponding with node key is associated；
Each doctor in disease type list is scored according to the medical news web page retrieved；And
When patient is by client query correspondence disease, scoring highest doctor is recommended into patient, and be shown in trouble
In the client of person.
It is preferred that, the medical data also includes hospital name, patient's name, patient age, sick time, ill original
Cause, medical diagnosis on disease information, nomenclature of drug, Quantity of drugs, physician names, medical section office, expense, the contact method of patient and to doctor
Raw evaluation information.
It is preferred that, the disease type list is divided into three node layers, and the first node layer is disease name node, second layer section
Section office's node of point hospital where the disease type, third layer node is information about doctor node.
It is preferred that, it is described to be retrieved according to disease type list interior joint keyword in the medical news web page,
And comprise the following steps the step of the medical news web page retrieved node corresponding with node key is associated：
(1) node key in disease type list is obtained, and whether has corresponding doctor by the key search
News web page is treated, wherein, the node key in disease type list can be some in nodename or node
Default keyword；
(2) judge whether the disease type list interior joint keyword has corresponding medical news web page；
(3) if when including the disease type list interior joint keyword in a medical news web page, it is described should
Medical news web page node corresponding with the node key is associated.
It is preferred that, the medical news web page that the basis is retrieved is scored each doctor in disease type list
Mode is calculated using equation below：Y=a*X1-b*X2+c+d, wherein, Y scorings, X1 is positive medical news web page
Quantity, X2 is the quantity of negative medical news web page, and c is the corresponding default value of hospital's qualification, and d is that doctor academic title is corresponding silent
Recognize value, a and b are preset parameter..
The present invention uses above-mentioned technical proposal, and the technique effect brought is：Medical information of the present invention is based on webpage
Doctor's grading commending system and method, big data analysis is carried out to medical data, so as to be graded to the doctor of hospital, just
Just corresponding doctor is selected during patient, the time of patient query has been saved.
Brief description of the drawings
Fig. 1 is the applied environment schematic diagram of doctor grading commending system of the medical information of the present invention based on webpage；
Fig. 2 is the functional module of the preferred embodiment of doctor grading commending system of the medical information of the present invention based on webpage
Schematic diagram；
Fig. 3 is the flow chart of the preferred embodiment of doctor grading recommendation method of the medical information of the present invention based on webpage；
Fig. 4 is the schematic diagram of disease type list of the present invention.
The realization, functional characteristics and advantage of the object of the invention will be described further referring to the drawings in conjunction with the embodiments.
Embodiment
Further to illustrate the present invention to reach the technological means and effect that predetermined goal of the invention is taken, below in conjunction with
Accompanying drawing and preferred embodiment, to embodiment, structure, feature and its effect of the present invention, are described in detail as follows.It should manage
Solution, the specific embodiments described herein are merely illustrative of the present invention, is not intended to limit the present invention.
Shown in reference picture 1, Fig. 1 is the applied environment of doctor grading commending system of the medical information of the present invention based on webpage
Schematic diagram.Doctor grading commending system 20 of the medical information based on webpage in the present invention runs on data center 2.The number
Communicated to connect according to center 2 by network 3 and one or more hospital information systems 1 (being illustrated in Fig. 1 exemplified by three), with
Many medical datas are obtained from the hospital information system 1.The medical data includes, but not limited to hospital name, patient last name
Name, patient age, sick time, ill reason, medical diagnosis on disease information, nomenclature of drug, Quantity of drugs, physician names, medical section
Room, expense, the contact method (for example, E-mail address, phone number and instant messaging account etc.) of patient and to doctor's
The information such as evaluation information.
The network 3 can be wire communication network or wireless communication networks.The network 3 is preferably radio communication network
Network, include but is not limited to, GSM network, GPRS network, cdma network, TD-SCDMA network, WiMAX network, TD-LTE networks,
The wireless-transmission networks such as FDD-LTE networks.
The data center 2 (is said with one or more clients 4 by the network 3 in Fig. 1 exemplified by three
It is bright) communication connection, grading highest doctor recommends patient after patient is retrieved.In other embodiments, the data center 2
The medical data can also be analyzed and processed, and (disease " is sent out in such as Fig. 4 by the disease association list after analyzing and processing
The linked list of burning ") the corresponding client 4 of patient is sent to by network 3.It should be noted that the client 4 is by patient
Hold, patient can obtain the medical data by the client 4.
The data center 2 is communicated to connect by the network 3 and search engine web site 5, for from the search engine
Website 5 obtains medical news web page.Specifically, the search engine web site 5 provides api interface, accesses setting for the api interface
Standby or system can obtain medical news web page from the search engine web site 5.The data center 2 draws in the search
Hold up (api interface for authorizing the access search engine web site 5 to provide) on the basis of website 5 is authorized and obtain the medical news
Webpage.
It should be noted that the data center 2 is a certain server of cloud platform or data center, pass through cloud platform
Or the data transmission capabilities and data storage capacities of data center, preferably it can manage and/or assist to connect with the data center 2
The client 4 connect.
The client 4 may be, but not limited to, smart mobile phone, panel computer, personal digital assistant (Personal
Digital Assistant, PDA), PC, other any appropriate portable electric appts such as electronic board.
It is the preferred embodiment of doctor grading commending system of the medical information of the present invention based on webpage shown in reference picture 2
High-level schematic functional block diagram.With reference to shown in Fig. 1, in the present embodiment, doctor grading of the medical information based on webpage is pushed away
System 20 is recommended applied to data center 2.The data center 2 include but not limited to, and medical information the doctor based on webpage comment
Level commending system 20, memory cell 22, processing unit 24 and communication unit 26.
Described memory cell 22 can be a kind of read-only memory unit ROM, electrically-erasable memory cell EEPROM, quick flashing
Memory cell FLASH or solid hard disk etc..
Described processing unit 24 can be a kind of central processing unit (Central Processing Unit, CPU), micro-
Controller (MCU), data processing chip or the information process unit with data processing function.
Described communication unit 26 is a kind of wireless communication interface with long-distance radio communication function, for example, supporting
The communication interface of the mechanicss of communication such as GSM, GPRS, WCDMA, CDMA, TD-SCDMA, WiMAX, TD-LTE, FDD-LTE.
Doctor grading commending system 20 of the medical information based on webpage includes, but are not limited to, acquisition module
200th, creation module 210, relating module 220, grading module 230 and display module 240, the module alleged by the present invention refer to one kind
It can be performed by the processing unit 24 of the data center 2 and the series of computation machine programmed instruction of fixing function can be completed
Section, it is stored in the memory cell 22 of the data center 2.
The acquisition module 200 is used to obtain medical data from the hospital information system 1 of each hospital.
Specifically, the hospital information system 1 provide data introducting interface (for example, application programming interfaces,
Application Program Interface, API), the equipment or system for accessing the data introducting interface can be from described
Medical data is obtained in hospital information system 1.The acquisition module 200 calls the api interface that the hospital information system 1 is provided
To obtain medical data.
It should be noted that because the medical data belongs to privacy information, in order to ensure information security, the medical number
, can be by enciphering and deciphering algorithm (for example, MD5 enciphering and deciphering algorithms, RSA enciphering and deciphering algorithms, DES add solution during according to being sent to data center 2
Close algorithm, DSA enciphering and deciphering algorithms, AES enciphering and deciphering algorithms etc.) first medical data is encrypted, it is transferred to afterwards described
Data center 2.
The creation module 210 is used to parse the medical data of each hospital, is created according to disease type keyword
Build disease type list.The disease type list is divided into three node layers, and the first node layer is that disease name node (protect by the node
Deposit disease name information), the second node layer is section office's node (node preservation hospital department name of hospital where the disease type
Claim), third layer node is information about doctor node (node preserves the information such as title, academic title, the amount of seeing and treating patients, the positive rating of doctor).
As shown in figure 4, the disease type list is the list of disease " fever ".In other embodiments, the disease type list
Can be more than three layers (for example, four layers, five layers or more)
The acquisition module 200 is used to obtain medical news web page from search engine web site 5.The medical news web page can
To be, but it is not limited to, the news web page of medical condition introduction, negative medical news web page are (for example, the medical treatment of malpractice is new
Hear webpage), the positive news web page of hospital and other types of medical news web page etc..
The relating module 220 is used in the medical news web page be entered according to disease type list interior joint keyword
Row retrieval, and the medical news web page retrieved node corresponding with node key is associated.
It is described to be retrieved according to disease type list interior joint keyword in the medical news web page, and will retrieval
To medical news web page node corresponding with node key be associated the step of comprise the following steps：
(1) node key in disease type list is obtained, and whether has corresponding doctor by the key search
News web page is treated, wherein, the node key in disease type list can be some in nodename or node
Default keyword.For example, as described in Figure 4, house keeper's word of hospital department node is " XXX the People's Hospitals internal medicine "；
(2) judge whether the disease type list interior joint keyword has corresponding medical news web page；
(3) if when including the disease type list interior joint keyword in a medical news web page, it is described should
Medical news web page node corresponding with the node key is associated.
The grading module 230 is used to enter each doctor in disease type list according to the medical news web page retrieved
Row scoring.In the present embodiment, the medical news web page that the basis is retrieved is carried out to each doctor in disease type list
The mode of scoring is calculated using equation below：Y=a*X1-b*X2+c+d, wherein, Y scorings, X1 is positive medical news
The quantity of webpage, X2 is the quantity of negative medical news web page, and c is the corresponding default value of hospital's qualification (for example, Grade A hospital
Corresponding default value is that 50, the corresponding default value of diformazan hospital is that 45, the corresponding default value of clinic hospital is 40 etc.), d is doctor
The corresponding default value of raw academic title (for example, the corresponding default value of archiater is the corresponding default value of 30, deputy director doctor is 25,
The corresponding default value of doctor is 20 etc.), a and b are preset parameter (for example, a is numerical value 15, b is numerical value 10 etc.).Need
Bright, the Y calculated according to the formula value is higher, represents that the scoring of doctor is higher.
The display module 240 is used to, when patient inquires about correspondence disease by client 4, scoring highest doctor be pushed away
Recommend to patient, and be shown in the client 4 of patient.Specifically, if as shown in figure 4, Zhang doctor's fraction of A internal medicine in hospital most
A height of 145 points, then when patient is by inquiring about this disease of the fever in client 4, show the letter of the Zhang doctor of A internal medicine in hospital
Cease in the client 4 of patient.In addition, when multiple doctors scoring is identical, the selection of display module 240 sees and treat patients quantity more than default
The doctor that value (10000 times) and positive rating are more than default positive rating (95%) recommends patient.
It is the preferred embodiment of doctor grading recommendation method of the medical information of the present invention based on webpage shown in reference picture 3
Flow chart.In the present embodiment, doctor grading recommendation method of the described medical information based on webpage is applied in data
The heart 2, this method comprises the following steps：
Step S10：The acquisition module 200 obtains medical data from the hospital information system 1 of each hospital.
Specifically, the hospital information system 1 provide data introducting interface (for example, application programming interfaces,
Application Program Interface, API), the equipment or system for accessing the data introducting interface can be from described
Medical data is obtained in hospital information system 1.The acquisition module 200 calls the api interface that the hospital information system 1 is provided
To obtain medical data.
It should be noted that because the medical data belongs to privacy information, in order to ensure information security, the medical number
, can be by enciphering and deciphering algorithm (for example, MD5 enciphering and deciphering algorithms, RSA enciphering and deciphering algorithms, DES add solution during according to being sent to data center 2
Close algorithm, DSA enciphering and deciphering algorithms, AES enciphering and deciphering algorithms etc.) first medical data is encrypted, it is transferred to afterwards described
Data center 2.
Step S11：The creation module 210 is parsed to the medical data of each hospital, crucial according to disease type
Word creates disease type list.The disease type list is divided into three node layers, and the first node layer is disease name node (section
Point preserves disease name), the second layer is section office's node (node preserves disease name) of hospital where the disease type, the 3rd
Layer is information about doctor node (node preserves the information such as title, academic title, the amount of seeing and treating patients, the positive rating of doctor).As shown in figure 4, institute
State the list that disease type list is disease " fever ".In other embodiments, the disease type list can be more than three
Layer (for example, four layers, five layers or more).
Step S12：The acquisition module 200 obtains medical news web page from search engine web site 5.The medical News Network
Page may be, but not limited to, and news web page that medical condition is introduced, negative medical news web page are (for example, the doctor of malpractice
Treat news web page), the positive news web page of hospital and other types of medical news web page etc..
Step S13：The relating module 220 is according to disease type list interior joint keyword in the medical news web page
It is middle to be retrieved, and the medical news web page retrieved node corresponding with node key is associated.
It is described to be retrieved according to disease type list interior joint keyword in the medical news web page, and will retrieval
To medical news web page node corresponding with node key be associated the step of comprise the following steps：
(1) node key in disease type list is obtained, and whether has corresponding doctor by the key search
News web page is treated, wherein, the node key in disease type list can be some in nodename or node
Default keyword.For example, as described in Figure 4, house keeper's word of hospital department node is " XXX the People's Hospitals internal medicine "；
(2) judge whether the disease type list interior joint keyword has corresponding medical news web page；
(3) if when including the disease type list interior joint keyword in a medical news web page, it is described should
Medical news web page node corresponding with the node key is associated.
Step S14：The grading module 230 is according to the medical news web page retrieved to each being cured in disease type list
Life is scored.In the present embodiment, the medical news web page that the basis is retrieved is to each doctor in disease type list
The mode scored is calculated using equation below：Y=a*X1-b*X2+c+d, wherein, Y scorings, X1 is positive medical treatment
The quantity of news web page, X2 is the quantity of negative medical news web page, and c is the corresponding default value of hospital's qualification (for example, front three
The corresponding default value of hospital is that 50, the corresponding default value of diformazan hospital is that 45, the corresponding default value of clinic hospital is 40 etc.), d
It is the corresponding default value of doctor academic title (for example, the corresponding default value of archiater is the corresponding default value of 30, deputy director doctor is
25th, the corresponding default value of doctor is 20 etc.), a and b are preset parameter (for example, a is numerical value 15, b is numerical value 10 etc.).Need
It is noted that the Y calculated according to the formula value is higher, represent that the scoring of doctor is higher.
Step S15：When patient inquires about correspondence disease by client 4, the display module 240 will scoring highest doctor
Patient is recommended in life, and is shown in the client 4 of patient.Specifically, if as shown in figure 4, the Zhang doctor of A internal medicine in hospital point
Up to 145 points of number, then when patient is by inquiring about this disease of the fever in client 4, show the Zhang doctor of A internal medicine in hospital
Information in the client 4 of patient.In addition, when multiple doctors scoring is identical, the selection of display module 240 quantity of seeing and treating patients is more than
The doctor that preset value (10000 times) and positive rating are more than default positive rating (95%) recommends patient.
The preferred embodiments of the present invention are these are only, are not intended to limit the scope of the invention, it is every to utilize this hair
Equivalent structure or equivalent flow conversion that bright specification and accompanying drawing content are made, or directly or indirectly it is used in other related skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of doctor grading commending system of medical information based on webpage, runs on data center, it is characterised in that described
Data center is connected by network with hospital information system, client and search engine web site, and the medical information is based on net
Doctor's grading commending system of page includes：
Acquisition module, for obtaining medical data from the hospital information system of each hospital；
Creation module, is parsed for the medical data to each hospital, and disease type is created according to disease type keyword
List；
The acquisition module, for obtaining medical news web page from search engine web site；
Relating module, for being retrieved according to disease type list interior joint keyword in the medical news web page, and
The medical news web page retrieved node corresponding with node key is associated；
Grading module, for being scored according to the medical news web page retrieved each doctor in disease type list；And
Display module, for when patient is by client query correspondence disease, scoring highest doctor to be recommended into patient, and
It is shown in the client of patient.
2. doctor grading commending system of the medical information as claimed in claim 1 based on webpage, it is characterised in that the doctor
Treating data also includes hospital name, patient's name, patient age, sick time, ill reason, medical diagnosis on disease information, medicine name
Title, Quantity of drugs, physician names, medical section office, expense, the contact method of patient and the evaluation information to doctor.
3. doctor grading commending system of the medical information as claimed in claim 1 based on webpage, it is characterised in that the disease
Sick list of types is divided into three node layers, and the first node layer is disease name node, and the second node layer is doctor where the disease type
Section office's node of institute, third layer node is information about doctor node.
4. doctor grading commending system of the medical information as claimed in claim 3 based on webpage, it is characterised in that the pass
Gang mould block specifically for：
(1) node key in disease type list is obtained, and whether has corresponding medical treatment new by the key search
Hear webpage；
(2) judge whether the disease type list interior joint keyword has corresponding medical news web page；
(3) the disease type list interior joint keyword is included if working as in a medical news web page, it is described by the medical treatment
News web page node corresponding with the node key is associated.
5. doctor grading commending system of the medical information as claimed in claim 1 based on webpage, it is characterised in that described
The mode that each doctor is scored in disease type list is carried out using equation below according to the medical news web page retrieved
Calculate：Y=a*X1-b*X2+c+d, wherein, Y scorings, X1 is the quantity of positive medical news web page, and X2 is negative medical treatment
The quantity of news web page, c is the corresponding default value of hospital's qualification, and d is the corresponding default value of doctor academic title, and a and b are fixed ginseng
Number.
6. doctor grading recommendation method of a kind of medical information based on webpage, applied to data center, it is characterised in that described
Data center is connected by network with hospital information system, client and search engine web site, and this method includes：
Medical data is obtained from the hospital information system of each hospital；
The medical data of each hospital is parsed, disease type list is created according to disease type keyword；
Medical news web page is obtained from search engine web site；
Retrieved according to disease type list interior joint keyword in the medical news web page, and by the medical treatment retrieved
News web page node corresponding with node key is associated；
Each doctor in disease type list is scored according to the medical news web page retrieved；And
When patient is by client query correspondence disease, scoring highest doctor is recommended into patient, and be shown in patient's
In client.
7. doctor grading recommendation method of the medical information as claimed in claim 6 based on webpage, it is characterised in that the doctor
Treating data also includes hospital name, patient's name, patient age, sick time, ill reason, medical diagnosis on disease information, medicine name
Title, Quantity of drugs, physician names, medical section office, expense, the contact method of patient and the evaluation information to doctor.
8. doctor grading recommendation method of the medical information as claimed in claim 6 based on webpage, it is characterised in that the disease
Sick list of types is divided into three node layers, and the first node layer is disease name node, and the second node layer is doctor where the disease type
Section office's node of institute, third layer node is information about doctor node.
9. doctor grading recommendation method of the medical information as claimed in claim 8 based on webpage, it is characterised in that described
Retrieved according to disease type list interior joint keyword in the medical news web page, and by the medical News Network retrieved
The step of page node corresponding with node key is associated comprises the following steps：
(1) node key in disease type list is obtained, and whether has corresponding medical treatment new by the key search
Hear webpage；
(2) judge whether the disease type list interior joint keyword has corresponding medical news web page；
(3) the disease type list interior joint keyword is included if working as in a medical news web page, it is described by the medical treatment
News web page node corresponding with the node key is associated.
10. doctor grading recommendation method of the medical information as claimed in claim 6 based on webpage, it is characterised in that described
The mode that each doctor is scored in disease type list is entered using equation below according to the medical news web page retrieved
Row is calculated：Y=a*X1-b*X2+c+d, wherein, Y scorings, X1 is the quantity of positive medical news web page, and X2 is negative doctor
The quantity of news web page is treated, c is the corresponding default value of hospital's qualification, and d is the corresponding default value of doctor academic title, and a and b are fixation
Parameter.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710105144.7A CN106952020A (en) | 2017-02-25 | 2017-02-25 | Doctor grading commending system and method for the medical information based on webpage |
| PCT/CN2017/096127 WO2018153030A1 (en) | 2017-02-25 | 2017-08-05 | Webpage-based doctor rating and recommendation system and method for medical informatization |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710105144.7A CN106952020A (en) | 2017-02-25 | 2017-02-25 | Doctor grading commending system and method for the medical information based on webpage |
Publications (1)
| Publication Number | Publication Date |
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| CN106952020A true CN106952020A (en) | 2017-07-14 |
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ID=59467647
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710105144.7A Pending CN106952020A (en) | 2017-02-25 | 2017-02-25 | Doctor grading commending system and method for the medical information based on webpage |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN106952020A (en) |
| WO (1) | WO2018153030A1 (en) |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108039198A (en) * | 2017-12-11 | 2018-05-15 | 重庆邮电大学 | A kind of doctor towards portable medical recommends method and system |
| CN108305675A (en) * | 2018-01-26 | 2018-07-20 | 合肥工业大学 | Intelligent hospital guide's method and system of diversity enhancing |
| WO2018153030A1 (en) * | 2017-02-25 | 2018-08-30 | 深圳市前海安测信息技术有限公司 | Webpage-based doctor rating and recommendation system and method for medical informatization |
| CN109636644A (en) * | 2018-12-13 | 2019-04-16 | 平安医疗健康管理股份有限公司 | Monitoring method, monitoring service end and the storage medium of medical reimbursement project exception |
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| CN106952020A (en) * | 2017-02-25 | 2017-07-14 | 深圳市前海安测信息技术有限公司 | Doctor grading commending system and method for the medical information based on webpage |
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2017
- 2017-02-25 CN CN201710105144.7A patent/CN106952020A/en active Pending
- 2017-08-05 WO PCT/CN2017/096127 patent/WO2018153030A1/en active Application Filing
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| CN110021418A (en) * | 2017-10-26 | 2019-07-16 | 株式会社日立制作所 | Remote diagnosis method and device thereof and system |
| CN108039198A (en) * | 2017-12-11 | 2018-05-15 | 重庆邮电大学 | A kind of doctor towards portable medical recommends method and system |
| CN108305675A (en) * | 2018-01-26 | 2018-07-20 | 合肥工业大学 | Intelligent hospital guide's method and system of diversity enhancing |
| CN108305675B (en) * | 2018-01-26 | 2020-10-23 | 合肥工业大学 | Intelligent diagnosis guiding method and system with enhanced diversity |
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| CN113764080A (en) * | 2021-01-29 | 2021-12-07 | 北京京东拓先科技有限公司 | Resource allocation method, device and storage medium |
| CN117116502A (en) * | 2023-09-11 | 2023-11-24 | 北京和兴创联健康科技有限公司 | Method and system for constructing operation portrait knowledge graph based on artificial intelligence and big data |
| CN117116502B (en) * | 2023-09-11 | 2024-04-05 | 北京和兴创联健康科技有限公司 | Method and system for constructing operation portrait knowledge graph based on artificial intelligence and big data |
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| WO2018153030A1 (en) | 2018-08-30 |
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