A SYSTEMATIC REVIEW ON MACHINE LEARNING BASED TECHNIQUES IN MEDICAL DATA ANALYSIS

Author Name: 1. C.Yosepu, 2 . K.Ganapathi Babu

Volume/Issue: 01/12

Country: India

DOI NO.: 08.2020-25662434 DOI Link: http://www.doi-ds.org/doilink/05.2021-92815247/UIJIR

Affiliation:

^1,2 Assistant Professor Of Computer Science And Engineering Colleges, Telangana, India

ABSTRACT

Machine Learning plays an important role in the fields of Artificial Intelligence (AI). In the present era, MachineLearning (ML) has been creating a centre of attention, and it has been successfully functional in many areas such as research, education, business, medical, forecasting etc., . In the present days the diagnosis of diseases is mainly from expert's decision. Diagnosis is a most important task in medical science as it is crucial in determining if a patient is having the disease or not. It plays vital role in the decision of relevant path of diagnosis for the treatment of the diseases. Applying machine learning techniques for disease diagnosis by using various intellectual algorithms has been a scorching research area of computer science. This paper focus on the systematic survey on the machine learning applications in the medical disease prognosis during the past decades

Key words: Artificial Intelligence, Diagnosis, Machine Learning, Pattern Recognition, Statistical Learning.