Provide an approach to predict health by using a machine learning model
Saman Siadati *, M. Jafar Tarokh **
Machine learning is one of the factors driving knowledge and business, including the use of it in massive data rather than the use of commonly used methods. With the availability of a huge body of data on health care as well as advances in machine learning methods, computers have been able to identify many health and health issues. The purpose of this research is to propose an approach to predict long-term health status by relying on a machine learning model focusing on the use of massive data. In this scalable system, the user sends his health features and the software designed after it simultaneously extracts the features. Then, the car learning model applies to predict the health status of the user through which he immediately sends messages to him to act appropriately.
Machine learning, massive data, data processing, medical informatics
*,** Strategic Intelligence Research Laboratory, K.N.T. university of technology, Tehran, Iran