Method for generating prediction result for early prediction of occurrence of fatal symptoms of subject and apparatus using it

摘要

Problem to be solved: to provide a method to increase the survival rate of patients by earning a patient with a sudden false negative and causing fatal symptoms such as cardiac arrest.The computing device acquires the vital sign of the subject, converts it to individualized data, generates analytic information from the individualized data based on the machine learning model, and refers to it to generate the prediction result and provides it to the external entity.In addition, the computing device acquires actual data, makes use of the label information and actual data to learn the modified Gan generator and discriminator, and generates the similar data by utilizing it The machine learning model is learned by using it as the learning data of the classification machine learning model, and classification data is generated by classifying the data to be classified based on it.Diagram