A Review on Use of Machine Learning Techniques in Diagnostic Health-Care

Monitoring of Physiological parameters/indicators of human body is indispensable in the health-care industry and in medical diagnosis. Today we find lot of invasive and non-invasive techniques adopted for vital data collection. The enormous amount of data/info thus obtained is used in predictive analytics for effective diagnosis of diseases, and plays an important role in life science. In this paper we provide a brief review of machine learning techniques adopted in predictive analysis for the challenging problems that the diagnostic health-care industry is exposed to today.