Abstract: The present disclosure relates to a method, apparatus, and computer program for preprocessing input data for predicting growth of children or adolescents. A method of preprocessing bio-component measurement data for growth prediction according to an exemplary embodiment of the present disclosure may include receiving physical data of a subject, generating a first variable based on the physical data of the subject, and determining an error in the physical data by comparing the first variable with a preset value.

Abstract: The present invention relates to a method, apparatus, and computer program for predicting precocious puberty for each stage of growing children and adolescents using an artificial intelligence model. The method for providing precocious puberty prediction and solution for each growth stage using artificial intelligence includes: receiving time series physical information on an evaluation subject; classifying a plurality of growth stages based on the input physical information on the evaluation subject, and then extracting physical information corresponding to a normal growth stage among the plurality of growth stages; predicting precocious puberty by inputting the extracted physical information to a trained neural network; and providing a precocious puberty management solution based on the physical information on the evaluation subject when the evaluation subject corresponds to the precocious puberty.

Abstract: The present invention relates to a method, apparatus, and computer program for predicting precocious puberty for each stage of growing children and adolescents using an artificial intelligence model. The method for providing precocious puberty prediction and solution for each growth stage using artificial intelligence includes: receiving time series physical information on an evaluation subject; classifying a plurality of growth stages based on the input physical information on the evaluation subject, and then extracting physical information corresponding to a normal growth stage among the plurality of growth stages; predicting precocious puberty by inputting the extracted physical information to a trained neural network; and providing a precocious puberty management solution based on the physical information on the evaluation subject when the evaluation subject corresponds to the precocious puberty.

Abstract: The present invention relates to a method, apparatus, and computer program for predicting growth of a height, etc., for each growth stage of growing children and adolescents using an artificial intelligence mode. According to an exemplary embodiment of the present invention, the method includes receiving time series physical information on an evaluation subject; classifying a plurality of growth stages based on the input physical information on the evaluation subject, and then extracting physical information corresponding to a rapid growth stage among the plurality of growth stages; predicting growth by inputting the extracted physical information to a trained neural network; and providing a growth management solution based on the physical information on the evaluation subject when the evaluation subject corresponds to the obesity.

Abstract: The present invention relates to a method, apparatus, and computer program for predicting growth of a height, etc., of growing children and adolescents using an artificial intelligence model based on a growth stage of the growing children and adolescents. According to an exemplary embodiment of the present invention, the method for providing growth prediction and solution for each growth stage using an artificial intelligence includes receiving time series physical information on an evaluation subject; classifying the evaluation subject into any one of a plurality of growth stages based on the input physical information on the evaluation subject, and then extracting physical information on the evaluation subject corresponding to the classified growth stage; predicting growth by inputting the extracted physical information to a trained neural network; and providing a growth management solution based on the classified growth stage.