Open AccessResearch on the Fusion Model of Sports and Medicine Based on Artificial Neural Network Health Analysis and Forecast — —Take atherosclerosis as an example
Author(s) -
Yu Wang,
Jinghong Wang,
Pan Deng,
Jinying Li,
Yi-Ting Wang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1848/1/012100
Subject(s) - artificial neural network , sports medicine , artificial intelligence , risk analysis (engineering) , computer science , disease , physical activity , machine learning , medicine , physical therapy
Purpose: With the increasing application of artificial neural network technology in medical diagnosis and health risk prediction, the model of sports medicine integration based on ANNs health risk prediction will provide an operable new idea for the development of sports medicine integration in China. Method: This study takes the more common atherosclerosis as an example and uses the artificial neural network analysis technology to predict the disease risk of 1109 patients, explores the effect of physical activity in predicting models, and explores new ideas for the integration of sports and medicine. Results: The model based on the LSTM network has a good predictive effect in realizing the level of physical activity and the risk of atherosclerosis. Therefore, it is recommended to include indicators such as physical activity level and exercise habits to predict and manage disease risks in the development of the integration of sports and medicine.