A Comparative Analysis of Advanced Machine Learning Techniques in Health Care Domain

Diabetes Mellitus, is a widespread endocrine illness that affects the entire world today. This is a necessity for an effective model that can predict diabetes and its variants with greater accuracy as early as possible. For increasing the accurateness of prediction with best effectiveness innovative ML Model is proposed. This survey aims to learn about and analyze the operation and performance of different Machine Learning techniques. This survey examines the possible applications of machine learning in the healthcare field. It works with new technologies such as social media platforms for predicting human predilections; in the field of medicine for predicting disease and so on. There are many techniques in data mining each model with its own level of accuracy. However, there is no model which can be said to be flawless as the performance of a model depends greatly on the datasets used. Here in these studies some of the classification algorithms have been deeply discussed. The main aim of this study is to deeply understand and analyze the working of some of the ML algorithms.