CN110389997B - Retrieval system of knowledge base in medical industry - Google Patents
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/335—Filtering based on additional data, e.g. user or group profiles
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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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
- G16H70/00—ICT specially adapted for the handling or processing of medical references
- G16H70/20—ICT specially adapted for the handling or processing of medical references relating to practices or guidelines
Abstract
The invention provides a knowledge base based on a more standard medical industry and a retrieval system for helping medical staff to complete retrieval more flexibly and intelligently, which is characterized by comprising the following components: a medical knowledge base including at least a drug data portion and an indication data portion; the medical staff input system comprises a plurality of medical terminals, a search server and a search result updating part, wherein the medical terminals are respectively held by medical staff with different medical identification information and are used for enabling the medical staff to input information to be searched and obtain search results, the search server is respectively connected with a medical knowledge base and each medical terminal in a communication mode and is used for receiving the information to be searched and corresponding medical identification information sent by the medical terminals and performing search processing, and the search server is provided with a medical information storage part, a query record storage part, a search information search acquisition part, a similar staff search acquisition part, a query record search acquisition part, a recommended information analysis acquisition part, a search result output part and a search record updating part.
Description
Technical Field
The invention belongs to the field of medical services, and particularly relates to a retrieval system of a knowledge base in the medical industry.
Background
During the daily operation process, the medical institution can generate a large amount of medical related data information, and the medical knowledge base is formed by managing the information, so that the medical institution is beneficial to guiding the working practice of a clinician, such as inquiring the related information of medicines, and is also beneficial to accumulating the working experience of the doctor.
The patent application number 201610879796.1 discloses a clinical knowledge base system based on pathophysiological paths, which can standardize hospital data to a certain extent, so that the diagnosis and treatment behaviors of hospital personnel are standardized, and the medical quality is improved.
However, the current knowledge base is simply the storage of simple data, which is inconvenient for medical staff to use: the knowledge bases are not comprehensive in arrangement of medical information, and meanwhile, the knowledge bases are relatively mechanical in use and relatively complex in maintenance, so that the knowledge bases cannot meet the requirement of a current medical institution on management of a large amount of data, and the query efficiency of medical staff cannot be improved well.
Disclosure of Invention
In order to solve the problems, a retrieval system which is based on a more standard knowledge base in the medical industry and helps medical staff to complete retrieval more flexibly and intelligently is provided, and the invention adopts the following technical scheme:
the invention provides a retrieval system of a knowledge base in the medical industry, which is characterized by comprising the following components: the medical knowledge base at least comprises a medicine data part for storing medicine information according to categories and an indication data part for storing indication and corresponding medicine information; the medical staff has different medical care identification information, the medical staff is used to input the information to be searched and obtain and check the search result, the search server is connected with the medical knowledge base and each medical care terminal, which is used to receive the information to be searched and the corresponding medical care identification information sent by the medical care terminal and search, the search server has medical care information storage part, search record storage part, search information search acquisition part, similar staff search acquisition part, search record acquisition part, search result analysis acquisition part, search result output part and search record update part, the medical staff stores all medical staff identification information and corresponding medical staff affiliated department information in the search information storage part, the history inquiry information at least contains medical staff to be searched information which is input, the search information acquisition part searches the medical knowledge base according to the information to be searched to obtain the corresponding search information, the similar staff search part searches the medical care information storage part according to the identification information to obtain the same medical care identification information as the same as the medical care identification information of the same as the medical care identification information, the similar search information is obtained by the similar search information of the similar medical staff, the similar search information is sequentially searched and the similar search information is obtained by the similar search information is searched by the similar search information storage part according to the similar search information, the search result output unit outputs the search information and the recommended information as search results to the corresponding medical care terminals according to the medical care identification information, and the search record update unit updates and stores the information to be searched and the corresponding medical care identification information as new history inquiry information to the inquiry record storage unit.
The knowledge base retrieval system in the medical industry provided by the invention may further have the technical feature that the recommended information analysis and acquisition section includes: the similarity calculation unit is used for calculating the similarity between every two similar identification information according to the similar identification information and the similar query information; an approximate person extraction unit configured to extract a plurality of similar identification information having the highest similarity as approximate identification information of an approximate person; the interest degree calculating unit is used for calculating the interest degree of each approximation person on each similar query information; and the recommendation information acquisition unit is used for taking the similar query information with the interest degree larger than the preset boundary value as recommendation information.
The knowledge base retrieval system in the medical industry provided by the invention can also have the technical characteristics that the approximate identification information is represented by a set S (user, K), wherein the user is a target person who inputs information to be retrieved for retrieval operation, K represents K approximate persons most similar to the target person user, and when the interest degree calculation unit calculates the interest degree, the interest degree p (user, i) of the target person user on each candidate similar query information i is as follows:
where N (i) represents the same kind of inquiry information, u represents the user of the target person, rvi represents the dependency of the approximate person v on the same kind of inquiry information i, and Wuv represents the similarity between the user of the target person and the approximate person v.
The system for searching the knowledge base in the medical industry provided by the invention can be further characterized in that the medical knowledge base further comprises an experience knowledge part, the medical care terminal is provided with a picture storage part, an input display part and a medical care side communication part, the picture storage part stores an experience knowledge editing picture, the input display part displays the experience knowledge editing picture so that medical staff edits and inputs own experience knowledge information, and the medical care side communication part sends the experience knowledge information to the medical knowledge base and stores the experience knowledge information in the experience knowledge part.
The knowledge base retrieval system in the medical industry can also have the technical characteristics that the experience knowledge information is the experience information which is formed by medical staff according to self experience summary aiming at a certain medicine, a certain indication, corresponding medicine information, a test value or diagnosis.
The system for searching a knowledge base in the medical industry provided by the invention can also have the technical characteristics that the search information search acquisition part can also search the experience knowledge part according to the keywords in the information to be searched when searching the medical knowledge base so as to acquire related experience knowledge information as a part of search information.
The system for searching the knowledge base in the medical industry can also have the technical characteristics that the medical knowledge base further comprises a diagnosis data part for storing a check value and diagnosis information, a liver and kidney dosage part for storing liver and kidney deficiency dosage, a tabu data part for storing medication tabu of traditional Chinese medicines, a guideline data part for storing diagnosis guidelines and a pharmaceutical data part for storing pharmaceutical expertise.
The actions and effects of the invention
According to the retrieval system of the knowledge base in the medical industry, the medical data of a medical institution can be classified and stored due to the medical knowledge base, and the medical staff can complete the retrieval of the medical knowledge base by sending the information to be retrieved to the retrieval server due to the retrieval server, so that the utilization of the data in the medical knowledge base is realized. Meanwhile, the search server is not only provided with a search information search acquisition part for performing normal search, but also provided with a recommendation information analysis acquisition part for acquiring recommendation information according to the department of medical staff, so that intelligent recommendation can be provided for the medical staff better according to the function of the medical staff when the medical staff performs search, a user can conveniently search information required by the user during work, and the search efficiency and the work efficiency of the user are improved.
Drawings
FIG. 1 is a block diagram of a system for retrieving a knowledge base of the medical industry in accordance with an embodiment of the invention
FIG. 2 is a block diagram of a search server in an embodiment of the invention;
FIG. 3 is a user-drug comparison chart in an embodiment of the present invention;
FIG. 4 is a drug-user comparison chart in an embodiment of the present invention;
FIG. 5 is a schematic diagram of a user query matrix in an embodiment of the invention;
FIG. 6 is a schematic diagram of a user query matrix after similarity is calculated in an embodiment of the present invention;
FIG. 7 is a block diagram of a medical terminal according to an embodiment of the present invention; and
FIG. 8 is a flow chart of a search query process in an embodiment of the invention.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement of the purposes and the effects of the present invention easy to understand, the following describes the retrieval system of the knowledge base in the medical industry of the present invention in detail with reference to the embodiments and the accompanying drawings.
< example >
FIG. 1 is a block diagram of a system for retrieving a knowledge base of the medical industry in accordance with an embodiment of the invention.
As shown in fig. 1, a retrieval system 100 of a knowledge base in the medical industry includes a medical knowledge base 1, a retrieval server 2, a plurality of medical care terminals 3, and a communication network 4.
The search server 2 is a system server held by a medical institution (for example, a hospital, a community hospital, etc.), and the medical care terminals 3 are held by medical care staff and are connected to the respective medical care terminals 3 by communication via a communication network 4.
The medical knowledge base 1 is a large database formed by respectively sorting and storing various information generated in the daily operation process by medical institutions according to categories. The medical knowledge base 1 at least comprises a medicine data part for storing medicine information, an indication data part for storing indication and corresponding medicine information, a diagnosis data part for storing inspection value and diagnosis information, a liver and kidney dosage part for storing liver and kidney deficiency dosage, a tabu data part for storing medication tabu of traditional Chinese medicine, a guide data part for storing diagnosis guide, a pharmaceutical data part for storing pharmaceutical expertise and an experience knowledge part for storing experience knowledge of medical staff, wherein the medical knowledge base 1 comprises but is not limited to the above listed data parts, and a medical institution or related manager can plan the data stored in the medical knowledge base 1 according to actual demands.
In this embodiment, the medical knowledge base 1 is a part of a system server, that is, each data portion of the medical knowledge base is stored in the form of a data table in the search server 2, and the search server 2 can search and communicate each data portion according to the name of the data table (that is, the classification of each data portion). In other embodiments, the medical knowledge base 1 may also be a separate storage device, and the data parts are stored in separate partitions of the storage device by category.
The retrieval server 2 is used for receiving information to be retrieved and corresponding medical care identification information input by medical care personnel through the medical care terminal 3, and carrying out retrieval and analysis processing according to the information to be retrieved and the medical care identification information, so that a retrieval result is formed and is sent to the medical care terminal 3 for the medical care personnel to check.
In this embodiment, the information to be retrieved is text keyword information input by medical staff, such as a medicine common name, a diagnosis name, or an indication name.
Fig. 2 is a block diagram of the structure of a search server in the embodiment of the present invention.
As shown in fig. 2, the search server 2 includes a medical care information storage unit 21, a query record storage unit 22, a search information search acquisition unit 23, a family member search acquisition unit 24, a query record search acquisition unit 25, a recommended information analysis acquisition unit 26, a search result output unit 27, a search record update unit 28, a service-side communication unit 29, and a service-side control unit 30.
The service-side communication unit 29 is used to perform communication interaction between the respective components of the search server 2 and between the search server 2 and other devices, for example, the search server 2 performs data interaction with the medical knowledge base 1 through the service-side communication unit 29. The service-side control unit 30 stores a computer program for controlling the operations of the respective constituent elements of the search server 2.
The medical information storage unit 21 stores medical identification information of all medical staff in the medical institution and corresponding department information.
In this embodiment, the medical care identification information is a work number of a medical care person, the department information is a department number or a department name of a department to which each medical care person belongs, and each medical care identification information corresponds to one department information.
The inquiry record storage unit 22 stores history inquiry information and corresponding medical care identification information.
In this embodiment, the history query information is information to be searched for by the medical staff once through the search server 2 and a timestamp of occurrence of the search.
The retrieval information retrieval acquiring section 23 is used for retrieving the medical knowledge base 1 according to the information to be retrieved to acquire corresponding retrieval information.
In this embodiment, the search information is information obtained by a conventional technique (e.g., keyword search technique), and for example, when the information to be searched is the generic name of a drug "cefprozil tablet", the search information retrieval acquiring unit 23 searches the medical knowledge base 1 based on the "cefprozil tablet" to acquire information such as drug information, indications, medication contraindications, and experience knowledge about the application of the "cefprozil tablet" as the search information.
The staff member retrieval and acquisition unit 24 is used for retrieving the medical care information storage unit 21 based on the medical care identification information to acquire and match the medical care information all medical care identification information with the same department information is used as the same kind identification information of the same kind of personnel.
In the present embodiment, the family identification information acquired by the family retrieval acquiring section 24 is medical care identification information of all persons belonging to the same department as the medical care person who issued the information to be retrieved (i.e., the family person, including the medical care person who issued the information to be retrieved).
The query record retrieval acquiring section 25 is configured to retrieve the query record storage section 22 based on the category identification information so as to acquire all the history query information of each category person as category query information.
In this embodiment, the query record search obtaining unit 25 sequentially performs search obtaining operations on each of the similar type identification information, and for each similar type identification information, the query record search obtaining unit 25 obtains all the history query information corresponding to the similar type identification information as similar type query information of the similar type identification information. The number of the same-class query information corresponding to each same-class person is not limited, and when one same-class identification information is not retrieved by the query record retrieval obtaining section 25 to the corresponding history query information, the same-class identification information is directly rejected (i.e., the corresponding same-class person is rejected).
The recommended information analysis acquiring section 26 is configured to analyze the information to be retrieved, the similar identification information, and the similar query information so as to acquire the similar query information of the similar identification information having the highest similarity as the recommended information.
In the present embodiment, the recommended information analysis acquiring section 26 includes a similarity calculating unit 261, an approximate person extracting unit 262, an interest degree calculating unit 263, and a recommended information acquiring unit 264.
The similarity calculation unit 261 is configured to calculate a similarity between each pair of medical care identification information according to the same-kind identification information and the same-kind query information;
the approximated person extraction unit 262 is configured to extract a plurality of medical care identification information with highest similarity as approximated identification information of approximated persons, in this embodiment, a plurality of medical care identification information;
the interest level calculating unit 263 is configured to calculate the interest level of each piece of approximate identification information on each piece of similar query information;
the recommended information obtaining unit 264 is configured to take the similar query information with the interest degree greater than the preset boundary value as the recommended information.
In this embodiment, taking a medical staff input a medicine common name as an example:
if a department has 3 people in total: user1, user2 and user3, there are 4 kinds of drugs currently: medicine 1, medicine 2, medicine 3, medicine 4.
As shown in fig. 3: assume that user1 inquires about medicine 1, medicine 2, and medicine 3; the user2 inquires about the medicine 1 and the medicine 4; user3 inquires about medicine 2, medicine 3 and medicine 4.
First, the similarity calculation unit 261 calculates the similarity of the same class persons (at this time, the medicine-person comparison chart is shown in fig. 4): for each drug, the same person who inquired about the drug adds 1 to the same item between every two pairs, for example, the same person who inquires about the drug 2 has a user1 and a user3, then they add 1 to each other in the matrix (the result is shown in fig. 5); further, the cosine similarity is used to calculate the similarity between the same class of people (the final result is shown in fig. 6).
Next, the approximate person extraction unit 262 finds out, from the matrix, a plurality of similar persons (here, 2) most similar to the target person (i.e., medical person who sent out information to be retrieved) as approximate persons, denoted by a set S (u, K), u representing the target person, and K representing K approximate persons.
Again, the interest level calculating unit 263 extracts all the medicine common names K queried in the set S, and removes the medicines that the target person has queried. For each candidate drug i remaining, the target person user's interest level in it is calculated using the following formula:
in the formula (1), N (i) represents similar query information (i.e., candidate medicine), u represents a target person user, rvi represents the degree of dependence of an approximation person v on the similar query information i, wuv represents the degree of similarity between the target person user and the approximation person v, and in this embodiment, the values of the degree of dependence Rvi are all 1.
More specifically, suppose we want to recommend drugs to user1 (i.e. the target person), here we take 3 users in the same department, and the approximate users are: user2, user3, then the drugs they have queried and user1 has not queried are: medicine 3, medicine 4, then the degree of interest calculating unit 263 calculates p (user 1, medicine 3) and p (user 1, medicine 4), respectively:
finally, the recommended information obtaining unit 264 uses the similar query information with the interest degree greater than the preset boundary as the recommended information. In combination with the fact that the boundary value can be set to 0.5, the same kind of query information (i.e., the medicine common names of medicine 3 and medicine 4) with the calculated value greater than 0.5 will be used as the recommendation information.
The search result output unit 27 outputs the search information and the recommended information as search results to the corresponding medical care terminal 3 based on the medical care identification information.
In the present embodiment, the search result output unit 27 is a part of the service-side communication unit 29, and is dedicated to performing output communication of the search result.
The search record updating unit 28 is configured to update and store information to be searched and corresponding medical care identification information as new history search information in the search record storage unit 22.
In the present embodiment, the search record updating unit 28 updates the history inquiry information once every time the search server 2 receives one piece of information to be searched.
Fig. 7 is a block diagram showing the structure of a medical terminal according to an embodiment of the present invention.
As shown in fig. 7, the nursing terminal 3 includes a screen storage unit 31, an input display unit 32, a nursing-side communication unit 33, and a nursing-side control unit 34.
The medical-side communication unit 33 is used for communication and interaction between the respective constituent parts of the medical terminal 3 and between the medical terminal 3 and other devices. The medical-care-side control unit 34 stores therein a computer program for controlling operations of the respective constituent elements of the medical care terminal 3.
The screen storage unit 31 stores an operation selection screen, a search information input screen, a search result display screen, and an experience knowledge editing screen.
The operation selection screen is used for displaying when the medical staff enters the medical terminal 3 so as to enable the medical staff to select corresponding operation. In this embodiment, before a medical staff enters an operation selection screen, the medical staff is required to enter medical identification information of the staff to log in the screen.
The search information input screen is used for displaying at least one input frame for the medical staff to input the information to be searched when the medical staff selects the search operation.
In the present embodiment, when the medical staff confirms the information to be searched (for example, when a button such as enter or confirm is pressed) inputted in the search information input screen, the medical-side communication unit 33 transmits the information to be searched and the medical identification information used when the medical staff logs in to the search server 2 at the same time to search.
The search result display screen is used for displaying search information and recommendation information respectively in the screen when the medical care terminal 3 receives the search result, so that the medical care personnel can check the search result. In this embodiment, the search information and the recommendation information are displayed in a list form, and the healthcare worker can specifically select one search information to view in detail by clicking on the search information list, and can retrieve again according to the recommendation information by clicking on the recommendation information list.
The experience knowledge editing screen is used for displaying at least one input box for the medical staff to edit experience knowledge information when the medical staff selects the experience editing operation.
In this embodiment, the empirical knowledge information is at least empirical information summarized by medical staff according to own experience with respect to a certain medicine, a certain indication, corresponding medicine information, a test value or diagnosis, and the like. Once the medical staff confirms that the editing of the empirical knowledge information is completed in the empirical knowledge editing screen, the medical-side communication section 33 transmits the empirical knowledge information to the search server 2 and stores it in the empirical knowledge section of the medical knowledge base 1.
The input display unit 32 is used for displaying the above-mentioned pictures, so that the medical staff can implement corresponding man-machine interaction by means of these pictures.
FIG. 8 is a flow chart of a search query process in an embodiment of the invention.
As shown in fig. 8, the search query process of the search system 100 of the knowledge base of the medical industry includes the steps of:
step S1, the input display unit 32 displays a search information input screen to allow the medical staff to input information to be searched, and the medical side communication unit 33 transmits the information to be searched and medical identification information to the search server 2, and then the process proceeds to step S2;
step S2, the retrieval information retrieval obtaining unit 23 retrieves the medical knowledge base 1 according to the information to be retrieved sent in step S1 to obtain corresponding retrieval information, and then proceeds to step S3;
step S3, the same kind of personnel search and acquisition part 24 searches the medical care information storage part 21 according to the medical care identification information sent in the step S1 so as to acquire all medical care identification information which is the same as the department information of the medical care identification information as the same kind of identification information of the same kind of personnel, and then the step S4 is carried out;
step S4, the query record retrieval acquiring unit 25 sequentially retrieves the query record storage unit 22 according to the respective category identification information acquired in step S3 to acquire all the history query information of the respective category personnel as category query information, and then proceeds to step S5;
step 5, the recommended information analysis acquiring unit 26 analyzes the information to be retrieved sent in step 1, the similar identification information acquired in step 3, and the similar query information acquired in step 4, so as to acquire similar query information of similar identification information with highest similarity as recommended information, and then proceeds to step 6;
step S6, the search result output unit 27 outputs the search information acquired in step S2 and the recommended information acquired in step S5 as a search result to the corresponding medical care terminal 3 according to the medical care identification information transmitted in step S1, and then proceeds to step S2;
in step S7, the input display unit 32 displays the search result display screen, displays the search result output in step S6 on the screen, allows the medical staff to check the search result, and then enters the end state.
Example operation and Effect
According to the retrieval system of the knowledge base in the medical industry, provided by the embodiment, the medical data of a medical institution can be classified and stored due to the medical knowledge base, and the medical staff can complete the retrieval of the medical knowledge base by sending the information to be retrieved to the retrieval server due to the retrieval server, so that the utilization of the data in the medical knowledge base is realized. Meanwhile, the search server is not only provided with a search information search acquisition part for performing normal search, but also provided with a recommendation information analysis acquisition part for acquiring recommendation information according to the department of medical staff, so that intelligent recommendation can be provided for the medical staff better according to the function of the medical staff when the medical staff performs search, a user can conveniently search information required by the user during work, and the search efficiency and the work efficiency of the user are improved.
In the embodiment, the recommended information analysis and acquisition part is provided with the interested degree calculation unit and can calculate according to the searching interested degree of each approximate person and the target person (namely, the medical staff in searching) in the same department, so that when the recommended information acquisition unit acquires the recommended information, the recommended information which is closer to the searching trend of the target person can be acquired, thereby better helping the medical staff to complete information searching and improving the searching efficiency.
In the embodiment, since the experience knowledge part is arranged in the medical knowledge base, the experience summarized by the medical staff in the medical institution can be collected, and the medical staff can search and check the experience knowledge through the search server. The medical device is convenient for medical staff with abundant experience in medical institutions to work on the medical staff and sort the properties of the drug symptoms to form an individual experience knowledge base, and is also convenient for medical staff with inexperience to know the experience information, so that the working quality is better improved.
In the embodiment, the medical knowledge base is also provided with a diagnosis data part for storing the check value and the diagnosis information, a liver and kidney dosage part for storing the liver and kidney deficiency dosage, a tabu data part for storing the medication tabu of traditional Chinese medicines, a guideline data part for storing the diagnosis guideline and a pharmacy data part for storing the pharmacy expertise, so that the medical knowledge base can more effectively classify and store various information in the medical institution, not only is the medical institution more convenient to classify and store daily generated data in a targeted way, but also is convenient for medical staff to inquire more and more comprehensive retrieval information through the retrieval server.
The above examples are only for illustrating the specific embodiments of the present invention, and the present invention is not limited to the description scope of the above examples.
Claims (3)
1. A system for retrieving a knowledge base of the medical industry, comprising:
the medical knowledge base at least comprises a medicine data part for storing medicine information according to categories and an indication data part for storing indication and corresponding medicine information;
a plurality of medical care terminals respectively held by medical care personnel with different medical care identification information for enabling the medical care personnel to input information to be searched and obtain search results,
the retrieval server is respectively communicated with the medical knowledge base and each medical care terminal, and is used for receiving the information to be retrieved and the corresponding medical care identification information sent by the medical care terminal and carrying out retrieval processing,
wherein the search server comprises a medical care information storage unit, a search record storage unit, a search information search acquisition unit, a similar person search acquisition unit, a search record search acquisition unit, a recommended information analysis acquisition unit, a search result output unit, and a search record update unit,
the medical care information storage part stores medical care identification information of all medical care personnel and corresponding department information of the medical care personnel,
the inquiry record storage part stores historical inquiry information and corresponding medical care identification information, the historical inquiry information at least comprises the information to be searched which is input by the medical care personnel,
the retrieval information retrieval obtaining part retrieves the medical knowledge base according to the information to be retrieved so as to obtain corresponding retrieval information,
the same kind of staff search and acquisition part searches the medical care information storage part according to the medical care identification information so as to acquire all medical care identification information which is the same as the department information of the medical care identification information as the same kind of identification information of the same kind of staff,
the inquiry record retrieval and acquisition part respectively retrieves the inquiry record storage part according to the similar identification information in turn so as to acquire all the historical inquiry information of each similar person as similar inquiry information,
the recommended information analysis and acquisition part analyzes the information to be searched, the same kind of identification information and the same kind of inquiry information so as to acquire the same kind of inquiry information of the same kind of identification information with highest similarity as recommended information,
the search result output unit outputs the search information and the recommended information as search results to the corresponding medical care terminal based on the medical care identification information,
the searching record updating part takes the information to be searched and the corresponding medical care identification information as the new historical searching information and updates and stores the new historical searching information into the searching record storing part;
the recommended information analysis acquisition unit includes:
the similarity calculation unit is used for calculating the similarity between every two similar identification information according to the similar identification information and the similar query information;
an approximate person extraction unit configured to extract a plurality of the same-class identification information having the highest similarity as approximate identification information of an approximate person;
the interest degree calculating unit is used for calculating the interest degree of each approximation person on each similar query information;
a recommendation information acquisition unit for taking the similar query information with the interest degree larger than a preset boundary value as the recommendation information,
the medical knowledge base also contains an empirical knowledge section,
the medical care terminal is provided with a picture storage part, an input display part and a medical care side communication part,
the picture storage section stores an empirical knowledge editing picture,
the input display part displays the experience knowledge editing picture so as to enable the medical staff to edit and input own experience knowledge information,
the medical-side communication section transmits the experience knowledge information to the medical knowledge base and stores to the experience knowledge section,
the experience knowledge information is the experience information formed by the medical staff according to self experience summary aiming at a certain medicine, a certain indication and corresponding medicine information, a test value or diagnosis,
the retrieval information retrieval obtaining section may be configured to retrieve the empirical knowledge section based on a keyword in the information to be retrieved so as to obtain the empirical knowledge information as a part of the retrieval information when retrieving the medical knowledge base.
2. The system for retrieving knowledge base of medical industry as claimed in claim 1, wherein:
wherein the approximate identification information is represented by a set S (user, K), the user is a target person who inputs the information to be searched for searching operation, K represents K approximate persons which are most similar to the target person user,
when the interest degree calculating unit calculates the interest degree, the interest degree p (user, i) of the target person user on the similar query information i of each candidate is:
wherein N (i) represents the same kind of inquiry information, u represents the target person user, rvi represents the dependence degree of the approximate person v on the same kind of inquiry information i, and Wuv represents the similarity between the target person user and the approximate person v.
3. The system for retrieving knowledge base of medical industry as claimed in claim 1, wherein:
the medical knowledge base also comprises a diagnosis data part for storing the test value and the diagnosis information, a liver and kidney dosage part for storing the liver and kidney insufficiency dosage, a tabu data part for storing the medication tabu of the traditional Chinese medicine, a guideline data part for storing the diagnosis guideline and a pharmacy data part for storing the pharmacy expertise.
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