Machine Learning Methods for Predictive Analytics in Health Care

Abstract

When we are dealing with the huge amount of data we have to look forward to the techniques like machine learning, predictive analysis, pattern recognition etc. Specially in the health sector machine learning is growing too fast and also give productive challenges. For predicting future, machine learning algorithm plays an important role, through which system can learn and become productive by the passing time. Method and Techniques of Machine Learning are used in various fields. Among those Health care is of the field which takes lots of help from the techniques of predictions. Through the techniques of predictive analysis in health care, effective treatment and risk factor can be managed effectively among patients and improve the quality of health care. As per the modern scenario, there is a need of huge improvement in the healthcare in term of cost and other factors. Today healthcare sector faces problem in the electronic data management, disease prediction as per the symptoms, patient classification, computer based diagnosis, risk factor etc. These challenges can be solved with the help of the machine learning tools and techniques. In this paper the focus to study the various machine learning method for the predictive analysis. Its includes various application area of machine learning, but mainly highlighting the role of machine learning in health care sectors.