CN113488185A - Pathology auxiliary diagnosis system based on artificial intelligence - Google Patents
Pathology auxiliary diagnosis system based on artificial intelligence Download PDFInfo
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- CN113488185A CN113488185A CN202110791350.4A CN202110791350A CN113488185A CN 113488185 A CN113488185 A CN 113488185A CN 202110791350 A CN202110791350 A CN 202110791350A CN 113488185 A CN113488185 A CN 113488185A
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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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
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
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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
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/26—Visual data mining; Browsing structured data
Abstract
The invention discloses a pathology auxiliary diagnosis system based on artificial intelligence, which is characterized in that information uploaded to a database by a user is preliminarily analyzed, analyzed data is compared with a large amount of similar data input into the database in advance through the system, a plurality of groups of data with high similarity are extracted from the analyzed data and compared, and compared results are made into a line graph or a column graph according to probability theory, so that probability problems can be visually observed, and the diagnosis accuracy is improved; after the information provided by the user is analyzed, the system can quickly extract useful data from the database for comparison, so that the output efficiency of the result can be effectively improved.
Description
Technical Field
The invention relates to the technical field of artificial intelligence products, in particular to a pathology auxiliary diagnosis system based on artificial intelligence.
Background
With the development of science and technology, artificial intelligence is also rapidly improved, wherein the artificial intelligence is English abbreviated as AI, and is a new technical science for researching and developing theories, methods, technologies and application systems for simulating, extending and expanding human intelligence; the application range is very wide, wherein the medical direction is involved, and the application in the medical direction is often an auxiliary diagnosis system for pathology.
Because the information that user self can upload is limited, current artificial intelligence pathology auxiliary diagnosis system often has the problem of diagnosis accuracy to lead to not judging pathology well, simultaneously to user information analysis back, the database can't be according to the information after the analysis information of extracting fast can with the data of analysis carry out the information of comparing, thereby lead to the efficiency of comparison result lower.
Disclosure of Invention
The invention aims to overcome the defects of low accuracy, low efficiency and the like in the prior art and provides a pathology auxiliary diagnosis system based on artificial intelligence. The pathology auxiliary diagnosis system based on artificial intelligence has the characteristics of high preparation performance, high efficiency and the like.
In order to achieve the purpose, the invention provides the following technical scheme: an artificial intelligence-based pathology auxiliary diagnosis system, comprising the following steps:
step 1: registering an account, wherein the registered account generally needs to fill in real information of a user;
step 2: the method comprises the following steps of account login, wherein a first login is carried out by using a pre-registered account and a password;
and step 3: uploading user information, namely uploading the information required to be known per se to a database, and after receiving the information, feeding the information required to be known back to an information uploading interface by the database for the reference of a user;
and 4, step 4: managing user information;
and 5: analyzing user information;
step 6: comparing the user information;
and 7: and drawing a conclusion.
Preferably, the real information in step 1 includes a series of information such as an identity card number, a mobile phone number, a real name, a current location, and the like.
Preferably, in step 3, if the login is the first time, the user is required to upload information for diagnosing pathology, and if the login is not the first time, the system extracts the information uploaded by the user for the first time and uploads the information to an information uploading interface for the user to watch.
Preferably, the information management in the step 4 includes information deletion and information storage, the user selects the information which is not needed to delete, the deleted information enters the recycle bin, and when the deleted information is needed next time, the deleted information can be recovered to the database from the recycle bin and enters an information uploading interface for reference; the user stores the information needed to be used in the database so as to be convenient for the user to log in the system next time to extract the information for reference.
Preferably, in step 5, the system analyzes the limited information provided by the user by using the knowledge entered by the staff, analyzes possible pathologies, lists the possible pathologies one by one, and tabulates or charts according to the possible sizes by using statistics so as to facilitate the next step.
Preferably, the system in step 6 compares the analyzed data with a plurality of groups of similar data in the database one by one, and further analyzes, and supports a line graph or a bar graph by statistics according to the analyzed result, so as to facilitate observation, thereby being capable of better assisting diagnosis.
Preferably, the result in step 7 is output in a probabilistic manner, and according to the analysis comparison in step 5 and step 6, the probability of various pathological possibilities at the comparison position can be clearly compared, so that the diagnosis of the pathology is further assisted.
Compared with the prior art, the invention has the beneficial effects that:
1. when the system is used, the information uploaded in the database by a user is preliminarily analyzed, the analyzed data is compared with a large amount of similar data which are input into the database in advance through the system, a plurality of groups of data with larger similarity are extracted from the data and compared, and the compared result is made into a line graph or a bar graph according to probability theory, so that the probability problem can be observed visually, and the diagnosis accuracy is improved;
2. when the method is used, after the information provided by the user is analyzed, the system can quickly extract useful data from the database for comparison, so that the output efficiency of the result can be effectively improved.
Drawings
Fig. 1 is a front view of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: an artificial intelligence-based pathology auxiliary diagnosis system, comprising the following steps:
step 1: registering an account, wherein the registered account generally needs to fill in real information of a user, and the real information comprises a series of information such as an identity card number, a mobile phone number, a real name, a current location and the like;
step 2: the method comprises the following steps of account login, wherein a first login is carried out by using a pre-registered account and a password;
and step 3: uploading user information, namely uploading the information required to be known per se to a database, feeding the information required to be known back to an information uploading interface after the database receives the information for the reference of a user, if the information is logged in for the first time, uploading the information required to diagnose pathology per se, and if the information is not logged in for the first time, extracting the information uploaded by the user for the first time by a system, and uploading the information to the information uploading interface for the user to watch;
and 4, step 4: user information management, namely information deletion and information storage, wherein the user selects unnecessary information to delete, the deleted information enters a recycle bin, and can be recovered to a database from the recycle bin and enters an information uploading interface for reference when the deleted information is needed next time; the user stores the information needed to be used in the database so as to be convenient for the user to log in the system next time to extract the information for reference;
and 5: analyzing user information, analyzing limited information provided by a user by using the knowledge input by a worker, analyzing possible pathologies, listing the possible pathologies one by one, and tabulating or drawing the possible pathologies according to the probability by using statistics so as to facilitate the next steps;
step 6: comparing user information, wherein the system compares the analyzed data with a plurality of groups of similar data in a database one by one, further analyzes, and supports a line graph or a bar graph by statistics according to the analyzed result so as to facilitate observation, thereby being capable of better assisting diagnosis;
and 7: and (5) concluding that the result is output in a probabilistic mode, and according to the analysis comparison in the steps 5 and 6, clearly comparing the probability of the possibility of various pathologies, thereby further assisting the diagnosis of the pathologies.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. A pathology auxiliary diagnosis system based on artificial intelligence comprises the following steps:
step 1: registering an account, wherein the registered account generally needs to fill in real information of a user;
step 2: the method comprises the following steps of account login, wherein a first login is carried out by using a pre-registered account and a password;
and step 3: uploading user information, namely uploading the information required to be known per se to a database, and after receiving the information, feeding the information required to be known back to an information uploading interface by the database for the reference of a user;
and 4, step 4: managing user information;
and 5: analyzing user information;
step 6: comparing the user information;
and 7: and drawing a conclusion.
2. The system of claim 1, wherein the system comprises: the real information in the step 1 comprises a series of information such as an identity card number, a mobile phone number, a real name, a current location and the like.
3. The system of claim 1, wherein the system comprises: and 3, if the login is the first time, the user is required to upload the information needing to diagnose the pathology, and if the login is not the first time, the system extracts the information uploaded by the user for the first time and uploads the information to an information uploading interface for the user to watch.
4. The system of claim 1, wherein the system comprises: in step 4, information management is divided into information deletion and information storage, a user selects unnecessary information to delete, the deleted information enters a recycle bin, and can be restored to a database from the recycle bin when the deleted information is needed next time, and the deleted information enters an information uploading interface for reference; the user stores the information needed to be used in the database so as to be convenient for the user to log in the system next time to extract the information for reference.
5. The system of claim 1, wherein the system comprises: in the step 5, the system analyzes the limited information provided by the user by using the knowledge input by the staff, analyzes possible pathologies, lists the possible pathologies one by one, and tabulates or charts according to the possible sizes by using statistics so as to facilitate the next step.
6. The system of claim 1, wherein the system comprises: and 6, comparing the analyzed data with a plurality of groups of similar data in the database one by the system, further analyzing, and supporting a line graph or a bar graph by statistics according to the analyzed result so as to facilitate observation, thereby being capable of better assisting diagnosis.
7. The system of claim 1, wherein the system comprises: the result in the step 7 is output in a probabilistic mode, and according to the analysis and comparison in the steps 5 and 6, the probability of various pathological possibilities at the comparison position can be clearly compared, so that the diagnosis of the pathology is further assisted.
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| CN202110791350.4A CN113488185A (en) | 2021-07-13 | 2021-07-13 | Pathology auxiliary diagnosis system based on artificial intelligence |
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| CN202110791350.4A CN113488185A (en) | 2021-07-13 | 2021-07-13 | Pathology auxiliary diagnosis system based on artificial intelligence |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106777885A (en) * | 2016-11-23 | 2017-05-31 | 北海高创电子信息孵化器有限公司 | A kind of human pathology dissects the method for work of diagnostic system |
| CN107577907A (en) * | 2017-09-08 | 2018-01-12 | 成都奇恩生物科技有限公司 | A kind of rare sick assistant diagnosis system and application method based on internet |
| CN110689958A (en) * | 2019-09-09 | 2020-01-14 | 杭州憶盛医疗科技有限公司 | Cancer pathology auxiliary diagnosis method based on artificial intelligence technology |
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- 2021-07-13 CN CN202110791350.4A patent/CN113488185A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106777885A (en) * | 2016-11-23 | 2017-05-31 | 北海高创电子信息孵化器有限公司 | A kind of human pathology dissects the method for work of diagnostic system |
| CN107577907A (en) * | 2017-09-08 | 2018-01-12 | 成都奇恩生物科技有限公司 | A kind of rare sick assistant diagnosis system and application method based on internet |
| CN110689958A (en) * | 2019-09-09 | 2020-01-14 | 杭州憶盛医疗科技有限公司 | Cancer pathology auxiliary diagnosis method based on artificial intelligence technology |
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