System and Method for Predicting Degree of Obesity Based on Growth and Development Data of Infants Using Growth Prediction AI Model

A system comprising:

• a terminal for providing body information data including gender, height, and weight of a user and physical activity data of a user;
• and
• an obesity degree prediction server, connected to the terminal through a network, for analyzing the body information data and the physical activity data provided from the terminal to predict a degree of obesity at a predetermined time point, and providing information on the degree of obesity to the terminal,
• wherein the obesity degree prediction server includes:
• a storage that stores the data provided from the terminal in a database;
• an obesity degree prediction operator that is configured to learn the data in the storage through artificial intelligence (AI) to predict the degree of obesity of the user at the predetermined time point;
• and
• an obesity degree information providing unit that is configured to provide the information on the degree of obesity predicted by the obesity degree prediction operator to the terminal.

A non-transitory computer-readable storage device storing instructions that, when executed by a processor, cause the processor to:

• acquire first data corresponding to body information data including gender, height, and weight of infants or children, and store the first data in a database;
• acquire second data corresponding to physical activity data for the infants or the children, and storing the second data in the database;
• normalize and categorize the first and second data;
• predict a degree of obesity after n months through a growth curve of the growth prediction AI model based on the normalized first and second data;
• reacquire the first and second data after the n months and storing the reacquired first and second date in the database or a second database;
• train the growth prediction AI model based on the predicted degree of obesity and the reacquired first data;
• predict a degree of obesity after m months through the trained growth prediction AI model;
• and
• analyze a risk metric of obesity based on the predicted degree of obesity.

A computer system comprising:

• a processor;
• and
• a memory accessible to the processor, the memory storing instructions that are executable by the processor to perform operations comprising:
• acquiring first data corresponding to body information data including gender, height, and weight of infants or children, and storing the first data in a database;
• acquiring second data corresponding to physical activity data for the infants or the children, and storing the second data in the database;
• normalizing and categorizing the first and second data;
• predicting a degree of obesity after n months through a growth curve of the growth prediction AI model based on the normalized first and second data;
• reacquiring the first and second data after the n months and storing the reacquired first and second date in the database or a second database;
• training the growth prediction AI model based on the predicted degree of obesity and the reacquired first data;
• predicting a degree of obesity after m months through the trained growth prediction AI model;
• and
• analyzing a risk metric of obesity based on the predicted degree of obesity.