CN114005531A - Psoriasis intelligent diagnosis system based on residual error network - Google Patents
Psoriasis intelligent diagnosis system based on residual error network Download PDFInfo
- Publication number
- CN114005531A CN114005531A CN202111304808.5A CN202111304808A CN114005531A CN 114005531 A CN114005531 A CN 114005531A CN 202111304808 A CN202111304808 A CN 202111304808A CN 114005531 A CN114005531 A CN 114005531A
- Authority
- CN
- China
- Prior art keywords
- module
- information
- intelligent
- residual error
- error network
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
-
- 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
-
- 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
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- Primary Health Care (AREA)
- Epidemiology (AREA)
- Pathology (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- Evolutionary Computation (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Artificial Intelligence (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The invention provides a psoriasis intelligent diagnosis system based on a residual error network, which comprises a database and a system login module, wherein the database is connected with the system login module through a wireless communication technology, the database comprises an information uploading module, an image capturing module, an intelligent diagnosis module and a result output module, the information uploading module is used for collecting user information and transmitting the information data to the image capturing module, the image capturing module is used for capturing image information in the information data and transmitting the image information to the intelligent diagnosis module, a residual error network model is arranged in the intelligent diagnosis module, and the data is processed and judged by utilizing the residual error network model, so that the psoriasis intelligent diagnosis system based on the residual error network is convenient for a patient to independently inquire and diagnose on the internet, thereby greatly reducing the time required by the patient, and the intelligent diagnosis module based on the residual error network is facilitated, and the results can be quickly and effectively processed and judged.
Description
Technical Field
The invention relates to the technical field of diagnosis systems, in particular to a psoriasis intelligent diagnosis system based on a residual error network.
Background
Psoriasis is commonly called as psoriasis, is a chronic inflammatory skin disease, has a long course of disease and a tendency of easy relapse, and can not be cured in some cases all the year round, the disease mainly takes youthful lives, has large influence on the physical health and mental conditions of patients, has clinical manifestations mainly including erythema and scales, can be attacked by diseases of the whole body, is common to the scalp and the extending sides of the limbs, and is aggravated in winter mostly;
for patients, the diagnosis of psoriasis requires the patients to go to their local hospitals for diagnosis, which takes a lot of time, and because of this time, the patients need to adjust their daily events, so that a part of the time can be squeezed out to go to the hospitals for diagnosis, which is inconvenient;
when the diagnosis system is used for self-help diagnosis of the online psoriasis diagnosis of the patient, the performance display of the network gradually increases to saturation along with the increase of the network depth in the neural network model, then the performance display of the network rapidly decreases, and the accuracy of the training result is lower in the model training process naturally, so that the invention provides the psoriasis intelligent diagnosis system based on the residual error network to solve the problems in the prior art.
Disclosure of Invention
In view of the above problems, the present invention is to provide a residual network-based psoriasis intelligent diagnosis system, which is used to solve the above drawbacks still existing in the technical field of diagnosis systems.
In order to realize the purpose of the invention, the invention is realized by the following technical scheme: the psoriasis intelligent diagnosis system based on the residual error network comprises a database and a system login module, wherein the database is connected with the system login module through a wireless communication technology, the database comprises an information uploading module, an image capturing module, an intelligent diagnosis module and a result output module, the information uploading module is used for collecting user information and transmitting the information data to the image capturing module, the image capturing module is used for capturing image information in the information data and transmitting the image information to the intelligent diagnosis module, a residual error network model is arranged in the intelligent diagnosis module and is used for processing and judging the data, the intelligent diagnosis module is connected with the result output module, and the result output module is used for outputting the judgment result of the intelligent diagnosis module.
The further improvement lies in that: the database also comprises an information prompt module, the information prompt module is connected with the result output module and consists of a positioning acquisition module and an intelligent recommendation module, the positioning acquisition module is used for acquiring the current positioning information of the user and transmitting the positioning information to the intelligent recommendation module, and the intelligent recommendation module is used for recommending surrounding hospitals according to the positioning information and the keywords.
The further improvement lies in that: the database also comprises an information feedback module, the information feedback module is connected with the result output module and used for acquiring result data output by the result output module, and the information feedback module is used for feeding back the acquired result data to a user in a preset mode.
The further improvement lies in that: the database also comprises a case management module and a storage module, wherein the case management module is connected with the system login module and is used for creating and modifying case information of patients, the storage module is connected with the case management module and is used for storing the case information, and the storage module is connected with the result output module and acquires result data of the result output module.
The further improvement lies in that: the information uploading module is composed of an image uploading module and a character uploading module, the image uploading module is used for acquiring image information uploaded by a user, and the character uploading module is used for acquiring character information input by the user.
The further improvement lies in that: the keyword is psoriasis when the result output module outputs a confirmed diagnosis result, and the keyword is skin disease when the result output module outputs an unidentified diagnosis result.
The further improvement lies in that: the preset mode comprises one or more of mobile phone APP feedback, mobile phone short message feedback and mail feedback.
The invention has the beneficial effects that: the psoriasis intelligent diagnosis system based on the residual error network facilitates the autonomous online query and diagnosis of patients, greatly reduces the time spent by the patients, is beneficial to the intelligent diagnosis module based on the residual error network, can quickly and effectively process and judge the result, and simultaneously has higher network depth because the residual error network has higher network depth, thereby leading the residual error network model to have stronger performance, being capable of extracting the characteristics of more complex data sets, and further improving the accuracy of the result.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic structural view of the present invention.
Fig. 2 is a schematic structural diagram of an information uploading module according to 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.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," "third," "fourth," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
As shown in fig. 1-2, the present embodiment provides an intelligent psoriasis diagnosis system based on a residual error network, which includes a database and a system login module, wherein the database is connected to the system login module via a wireless communication technology, the database includes an information uploading module, an image capturing module, an intelligent diagnosis module, and a result output module, the information uploading module is configured to collect user information and transmit the information data to the image capturing module, the image capturing module is configured to capture image information in the information data and transmit the image information to the intelligent diagnosis module, a residual error network model is disposed in the intelligent diagnosis module, and processes and judges the data using the residual error network model, the intelligent diagnosis module is connected to the result output module, the result output module is configured to output a judgment result of the intelligent diagnosis module, and the system login module is mobile terminal software, the intelligent diagnosis system is used in the form of computer software or a mobile phone APP, and aims to facilitate the login and use of a user, the database is mounted on an external network and is connected with the database in a wireless communication mode, after the user logs in, corresponding information can be uploaded through the information uploading module, then, image information in the uploaded information is captured by the image capturing module, the image information is generally picture information of a position needing to be diagnosed, namely a picture of a diseased region, which is shot by the user in an environment with sufficient light, then the information captured by the image capturing module is transmitted to the intelligent diagnosis module, a trained residual error network model is arranged in the intelligent diagnosis module, the residual error network module comprises a plurality of depth residual error network layers, wherein the depth residual error network layer at the uppermost layer is used for preprocessing data identified by the image identification module, the depth residual error network layer at the lowest layer is used for judging results, the judgment results are judged according to the feature extraction results of the depth residual error network layer at the middle part, and then the judgment results are output through the result output module, so that a user can check the judgment results.
The database also comprises an information prompting module, the information prompting module is connected with the result output module, the information prompting module consists of a positioning acquisition module and an intelligent recommendation module, the positioning acquisition module is used for acquiring the current positioning information of the user and transmitting the positioning information into the intelligent recommendation module, meanwhile, the positioning information needs the user to confirm the corresponding authority, the intelligent recommendation module is used for recommending surrounding hospitals according to the positioning information and keywords, in the process of recommending the hospitals, besides the hospitals surrounding the current position of the recommended user, the famous hospitals are also recommended, attention items, treatment modes and other information related to psoriasis are preset in the information prompting module for displaying, and the user can conveniently know the psoriasis information.
The database also comprises an information feedback module, the information feedback module is connected with the result output module and acquires result data output by the result output module, the information feedback module is used for feeding back the acquired result data to a user in a preset mode, the information feedback module is mainly used for feeding back information of a judgment result through multiple channels, the user can be ensured to receive a diagnosis result in the first time, and the preset mode comprises one or more of mobile phone APP feedback, mobile phone short message feedback and mail feedback.
The database also comprises a case management module and a storage module, wherein the case management module is connected with the system login module and is used for creating and modifying case information of a patient, the storage module is connected with the case management module and is used for storing the case information, the storage module is connected with the result output module and is used for acquiring result data of the result output module, after a user logs in through the system login module, if the user is a new user, new case information needs to be created, if the user is an old user, case information corresponding to the user can be directly acquired from the storage module, meanwhile, the storage module is also connected with the result output module, and after the result output module outputs a result, the storage module can acquire the case information and store the data into the corresponding user case information.
The information uploading module is composed of an image uploading module and a character uploading module, the image uploading module is used for acquiring image information uploaded by a user, the character uploading module is used for acquiring character information input by the user, a related information form is preset in the character uploading module, the user can fill the information form conveniently, and the information form can be directly conveyed to the case information for storage.
The result output module outputs a result that when the diagnosis is confirmed, the keyword is psoriasis, the result output module outputs a result that when the diagnosis is not confirmed, the keyword is skin disease, when the diagnosis is confirmed, the hospital is pertinently recommended by using the psoriasis as the keyword, when the diagnosis is not confirmed, the skin disease is used as the keyword, meanwhile, a suspected disease matching module can be further arranged, when the diagnosis is not confirmed, the suspected disease matching module is used for carrying out feature matching, and the suspected disease state is matched, so that a user can better know the disease state of the user.
In the embodiment, the patient can independently inquire and diagnose on the network, so that the time spent by the patient is greatly reduced, the intelligent diagnosis module based on the residual error network is facilitated, the result can be quickly and effectively processed and judged, and meanwhile, the residual error network has higher network depth, so that the residual error network model has stronger performance, the characteristics of a more complex data set can be extracted, and the accuracy of the result is further improved.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (7)
1. The intelligent psoriasis diagnosis system based on the residual error network comprises a database and a system login module, wherein the database is connected with the system login module through a wireless communication technology, and the intelligent psoriasis diagnosis system is characterized in that: the database comprises an information uploading module, an image capturing module, an intelligent diagnosis module and a result output module, wherein the information uploading module is used for collecting user information and transmitting the information data to the image capturing module, the image capturing module is used for capturing image information in the information data and transmitting the image information to the intelligent diagnosis module, a residual error network model is arranged in the intelligent diagnosis module, the data is processed and judged by using the residual error network model, the intelligent diagnosis module is connected with the result output module, and the result output module is used for outputting the judgment result of the intelligent diagnosis module.
2. The intelligent psoriasis diagnosis system based on the residual error network as claimed in claim 1, wherein: the database also comprises an information prompt module, the information prompt module is connected with the result output module and consists of a positioning acquisition module and an intelligent recommendation module, the positioning acquisition module is used for acquiring the current positioning information of the user and transmitting the positioning information to the intelligent recommendation module, and the intelligent recommendation module is used for recommending surrounding hospitals according to the positioning information and the keywords.
3. The intelligent psoriasis diagnosis system based on the residual error network as claimed in claim 1, wherein: the database also comprises an information feedback module, the information feedback module is connected with the result output module and used for acquiring result data output by the result output module, and the information feedback module is used for feeding back the acquired result data to a user in a preset mode.
4. The intelligent psoriasis diagnosis system based on the residual error network as claimed in claim 1, wherein: the database also comprises a case management module and a storage module, wherein the case management module is connected with the system login module and is used for creating and modifying case information of patients, the storage module is connected with the case management module and is used for storing the case information, and the storage module is connected with the result output module and acquires result data of the result output module.
5. The intelligent psoriasis diagnosis system based on the residual error network as claimed in claim 1, wherein: the information uploading module is composed of an image uploading module and a character uploading module, the image uploading module is used for acquiring image information uploaded by a user, and the character uploading module is used for acquiring character information input by the user.
6. The intelligent psoriasis diagnosis system based on the residual error network as claimed in claim 2, wherein: the keyword is psoriasis when the result output module outputs a confirmed diagnosis result, and the keyword is skin disease when the result output module outputs an unidentified diagnosis result.
7. The intelligent psoriasis diagnosis system based on the residual error network as claimed in claim 3, wherein: the preset mode comprises one or more of mobile phone APP feedback, mobile phone short message feedback and mail feedback.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111304808.5A CN114005531A (en) | 2021-11-05 | 2021-11-05 | Psoriasis intelligent diagnosis system based on residual error network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111304808.5A CN114005531A (en) | 2021-11-05 | 2021-11-05 | Psoriasis intelligent diagnosis system based on residual error network |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114005531A true CN114005531A (en) | 2022-02-01 |
Family
ID=79927931
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111304808.5A Pending CN114005531A (en) | 2021-11-05 | 2021-11-05 | Psoriasis intelligent diagnosis system based on residual error network |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114005531A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114220514A (en) * | 2022-02-22 | 2022-03-22 | 橙意家人科技（天津）有限公司 | Internet hospital patient diagnosis and treatment data analysis processing method, equipment and storage medium |
-
2021
- 2021-11-05 CN CN202111304808.5A patent/CN114005531A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114220514A (en) * | 2022-02-22 | 2022-03-22 | 橙意家人科技（天津）有限公司 | Internet hospital patient diagnosis and treatment data analysis processing method, equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106021910A (en) | Intelligent medical service-based remote disease diagnosis system | |
| EP2422694A1 (en) | Method, device and system for remotely obtaining physiological detection data of user | |
| JP5721510B2 (en) | Remote diagnosis system, data transmission method, data reception method, and communication terminal device, data analysis device, program, and storage medium used therefor | |
| CN105808946B (en) | Mobile telemedicine system based on cloud computing | |
| CN104598729A (en) | Online doctor-patient interaction system and interaction method based on health management | |
| CN104376409A (en) | Triage data processing method and system based on network hospital | |
| CN103324831A (en) | Remote interrogation system | |
| US20110090048A1 (en) | Data Transmission Device with User Identification Capability | |
| CN107085819A (en) | Senior health and fitness's service system based on internet | |
| CN103793607A (en) | Family health monitoring and diagnosis system based on television system | |
| CN111863252A (en) | Health monitoring method, system, computer equipment and storage medium | |
| DE102014105916A1 (en) | Data processing and communication device for recording patient data in therapy-free time | |
| CN114220537B (en) | AI intelligent online diagnosis method based on Internet hospital and cloud system | |
| CN104392404A (en) | Remote hypertension management platform and implementation method thereof | |
| CN106777929A (en) | Eeg monitoring system based on smart cloud | |
| CN112331334A (en) | Big data accurate medical system and method based on intelligent terminal | |
| CN114005531A (en) | Psoriasis intelligent diagnosis system based on residual error network | |
| CN111403025A (en) | Intelligent diagnosis and treatment system based on internet medical service | |
| CN108903926A (en) | A kind of intelligent medical Physical Examination System and its application method | |
| CN107564574A (en) | Blood cell analyzer is delivered newspaper device automatically | |
| CN105512490A (en) | Wearable device for health detection based on iris information | |
| CN103702287A (en) | Data sending method and system | |
| CN110634578A (en) | Remote intelligent inquiry method | |
| CN107239663A (en) | Portable portable medical service system | |
| CN103385701A (en) | Remote blood pressure monitoring and nursing device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |