Читать книгу Machine Learning for Healthcare Applications - Группа авторов - Страница 39

Tene Ramakrishnudu*, T. Sai Prasen and V. Tharun Chakravarthy

National Institute of Technology-Warangal, India

Abstract

In the current generation, it is very important to monitor our health. With the busy lives of people nowadays, many are experiencing health-related issues at an early age. Many of these issues arise because of our daily life activities. People are interested in many activities, but they hardly know the consequences of those activities. Hence it is very important to detect daily life activities that affect the health of a person and predict the diseases that may come in the future. However, there are existing methods for predicting a particular kind of disease like diabetes, tuberculosis, etc., based on electronic health records. The proposed system predicts the overall health status of a person using machine learning techniques. The overall health status includes how well a person is sleeping, eating, doing physical activity, etc. Also, the proposed system monitors the health of persons and alerts when they are deviating from a normal state. In this chapter, we will discuss the data collection approach, architecture of the system, overall health estimation models, implementation details, and the analysis of the result.

Keywords: Healthcare data analysis, machine learning in healthcare, data analytics, health status estimation