Читать книгу Machine Learning for Healthcare Applications - Группа авторов - Страница 47

The Phase-I of the model, process the data received from both the data sources and the user. In this phase, a 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-I of the model estimates the health status of an individual for a particular day. But an individual’s health status can’t be accurate just by considering one day’s output. In Phase-I the decision tree classifier is used, it takes the activities of an individual as input and produces the status of the health parameters for one day. Thus, the output of Phase-I is collected over a week and feeds it to Phase-II.