Читать книгу Machine Learning for Healthcare Applications - Группа авторов - Страница 48

The Phase-II of the model, process the data received from the data sources and the output of the Phase-I. In this phase, the decision tree classifier is used to estimate the health parameter of the user. Initially, the model is trained with the dataset received from the data sources. The Phase-II of the model estimates the health status of an individual for a week. The output of Phase-II estimates the health status and generates the alerts and suggestions that are to be notified to the individual. In Phase-II the decision tree classifier is used, it takes the daily status of the health parameters over a week as input (i.e. the output of Phase-I) and outputs alerts & predictions of that health parameter.