Monitoring of Healthcare Management System Using Proper Diet and Diagnosis

Abstract

Nowadays, health diseases are increasing day by day due to life style, hereditary. Especially, chronic diseases have become more common these days .i.e. life of people is at risk. This paper gives the survey about different classification techniques used for predicting the probable disease of the   person based on symptoms entered by the user. Accuracy of the system is high when using more number of attributes. Classifying data is one of the most common tasks in Machine learning. Machine learning provides one of the main features for extracting knowledge from large databases from enterprises operational databases. Machine Learning in Medical Health Care is an emerging field of very high importance for providing prognosis and a deeper understanding of medical data. Most machine learning methods depend on a set of features that define the behavior of the learning algorithm and directly or indirectly influence the performance as well as the complexity of resulting models.