Machine Learning based Prediction Model for Health Care Sector - A Survey

Abstract

Machine Learning is the subset of artificial intelligence where the machines are programmed to learn without any human intervention. The hidden complex patterns inside the data can be extracted with the help of machine learning algorithms. Health care industry can generate, store and analyze huge heterogeneous data like CT scan, MRI, fMRI, PET, SPECT, DTI, DOT etc. Apart from these data hospitals is responsible for various sources include hospital administrative records, medical records of patients, results of medical examinations, and data generated by the devices. Dealing with this type of multi-dimensional data manually is the challenging task and it may lead to reduce the prediction accuracy which will affect directly to the life of the patient. Hence we are in need of proper smart data management and analysis mechanism for deriving the accurate and meaningful information. Machine learning can play vital role in modern health care industry by providing the relevant solutions in less time with high accuracy. It also provides systematic and algorithmic approach tools for data management, analysis and interpretation. This paper presents the state-of-the -art of works related to machine learning techniques in health care sector.