A chronic disease prediction system based on a multi-task learning model, comprising a computer memory, a computer processor, and a computer program stored in the computer memory and executable on the computer processor. The computer memory stores a trained chronic disease prediction model; the chronic disease prediction model consists of a shared-layer convolutional neural network and a plurality of chronic disease branch networks; when the computer processor executes the computer program, the following steps are implemented: preprocessing a physical examination record to be predicted, and then inputting same into the shared-layer convolutional neural network of the chronic disease prediction model for feature extraction to obtain a feature map; and then, inputting the obtained feature map into each chronic disease branch network separately, and performing feature extraction and prediction respectively to obtain a chronic disease prediction result. The system can predict multiple chronic diseases simultaneously.
CHRONIC DISEASE PREDICTION SYSTEM BASED ON MULTI-TASK LEARNING MODEL