Method and device for carrying out model training based on body temperature data, computer equipment and storage medium.
A model training and body temperature technology, applied in the field of artificial intelligence, can solve problems such as the inability to apply patient tests and the inability to reasonably analyze body temperature data
Pending Publication Date: 2020-11-24
深圳平安医疗健康科技服务有限公司
View PDF0 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0004] The main purpose of this application is to provide a method, device, computer equipment and storage medium for model training based on body temperature data, aiming at overcoming the defects that the body temperature data cannot be reasonably analyzed and cannot be applied to patient testing
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0042] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.
[0043] refer to figure 1 , an embodiment of the present application provides a method for model training based on body temperature data, including the following steps:
[0044] Step S1, each user terminal respectively collects continuous body temperature data of the sample user, and correspondingly analyzes the body temperature rhythm characteristic data of the collected body temperature data;
[0045] Step S2, each of the user terminals respectively input the corresponding characteristic data of the body temperature rhythm into the logistic regression model for training,...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention relates to the technical field of artificial intelligence, and provides a method and device for carrying out model training based on body temperature data, computer equipment and a storage medium. According to the method, each user terminal collects continuous body temperature data of a sample user, correspondingly analyzes the body temperature rhythm characteristic data of the collected body temperature data, and respectively inputs the body temperature rhythm characteristic data into a logistic regression model for training so as to update model parameters; when a server terminal determines that the model training is finished, each user terminal sends the updated model parameters to the server terminal, so that aggregation operation is performed on the model parameters sentby all the user terminals through the server terminal to obtain weighted average model parameters; the logistic regression model is updated according to the weighted average model parameters, and themodel training is stopped to obtain a detection model for detecting the body temperature rhythm characteristic data. According to the invention, the detection model obtained by training is convenientfor analyzing the physical sign characteristics of the user from the body temperature data, and based on the detection model, the body temperature rhythm characteristic data is convenient to analyzeand process.
Description
technical field [0001] The present application relates to the technical field of artificial intelligence, in particular to a method, device, computer equipment and storage medium for model training based on body temperature data. Background technique [0002] At present, the auxiliary judgment of depression is usually based on the patient's biological rhythm data. The abnormal biological rhythm is considered to be an obvious symptom of depression, which is often reflected in the changes of human physical signs data (such as body temperature data). [0003] Therefore, the reasonable use of human physical signs data is conducive to auxiliary judgment of depression. However, at present, it is usually doctors who manually analyze the sign data based on diagnostic experience, which requires high professionalism, and it is impossible to reasonably analyze and utilize the patient's sign data through automated machines, and cannot apply it to patient testing. Contents of the inven...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/20G16H50/70
CPCG16H50/20G16H50/70
Inventor 陈桢妮
Owner 深圳平安医疗健康科技服务有限公司