Chronic disease risk prediction method and system based on combination of artificial intelligence and medical experience

The invention discloses a chronic disease risk prediction method and system based on combination of artificial intelligence and medical experience. The method comprises the steps of obtaining first input information; acquiring second input information; according to data requirements of the first input information and the second input information, extracting corresponding information from the medical institution and/or the physical examination institution/or the physical examination report to complete user information collection; performing data cleaning on the collected user information, and inputting the cleaned data into a pre-stored prediction model for processing to obtain a first risk value, the prediction model comprising a plurality of sub-prediction models; and performing secondary processing on the first risk value in combination with a questionnaire result to obtain a final risk prediction value. The method has the advantages that through organic combination of artificial intelligence and medical ex