Machine Learning Approaches For Disease Prediction:- A Review

Over recent years, disease prediction catches the attention of researcher’s awareness to cover a large range in medical as well as computer science field. Therefore, several models have been constructed for many different-different diseases diagnose and their forecasting. These models utilise an assortment of patient features to assess the likelihood of results over a definite interval of time and have capability to make better decision making. Patients’ health database contain large amount of information regarding particular disease and several laboratory test results. It has become essential to discover hidden patterns from those longitudinal health-related databases, and machine learning algorithms are playing a vital role to achieve this task. These algorithms assure the superior accuracy of observation and identification of disease. This paper highlighting various diseases, whose diagnose and prediction have been done through machine learning algorithms. It conveys concentration in the direction of machine learning algorithms and attributes that are used for the prediction of diseases and decision-making process accordingly.