SYSTEM AND METHOD FOR PREDICTING DISEASE BASED ON AI AND SAFETY INDEX OF SODIUM INTAKE ACCORDING TO THE INTAKE FOOD OF KOREAN

摘要

The present invention relates to an artificial intelligence disease prediction system based on sodium intake safety index according to dietary food of Koreans, and more specifically, as an artificial intelligence disease prediction system, food consumed by a user using food information on Korean dietary food Index calculation module for calculating the sodium intake safety index according to the sodium content of; a learning module that constructs a disease prediction model by learning the correlation between the sodium intake safety index and the health diagnosis index for each chronic disease based on artificial intelligence; And by inputting the sodium intake safety index calculated by the index calculation unit to the disease prediction model, it is characterized in that it includes a prediction module for predicting the risk of chronic disease. In addition, the present invention relates to a sodium intake safety index-based AI disease prediction method according to the dietary food of Koreans, and more specifically, as an AI disease prediction system, as an AI disease prediction method, (1) Korean dietary food calculating a sodium intake safety index according to the sodium content of the food consumed by the user using the food information; (2) constructing a disease prediction model by learning the correlation between the sodium intake safety index and the health diagnosis index for each chronic disease based on artificial intelligence; and (3) inputting the sodium intake safety index calculated in step (1) into the disease prediction model, and predicting the risk of chronic disease. According to the artificial intelligence disease prediction system and method based on the sodium intake safety index according to the dietary food of Koreans proposed in the present invention, the sodium intake safety index according to the sodium content of the food consumed by the user and the health examination index for each chronic disease By learning the correlation based on artificial intelligence and predicting the user's chronic disease risk using the learned disease prediction model, it is possible to identify the user's chronic disease risk early without a separate measuring device, and to risk can be routinely and consistently monitored. In addition, according to the sodium intake safety index-based artificial intelligence disease prediction system and method according to the dietary food of Koreans proposed in the present invention, by constructing a disease prediction model by dividing by age group and gender and predicting the risk of chronic disease, By comparing the user's location with the status of Koreans of the same age and gender, it is possible to compare the health status with others and raise awareness about chronic diseases.