MACHINE LEARNING ALGORITHMS IN HEALTHCARE: A REVIEW
Abstract
A major trend in the business has been the adoption of Machine Learning, which is a contemporary and highly complex technical application. Machine Learning is everywhere and is being utilised in a broad variety of applications today. It is playing an important role in a variety of areas, including banking, medical research, and security. Machine learning is used to identify patterns in medical data sources, and it has great predictive skills when it comes to illness prediction. On the basis of this article, we will discuss different machine learning techniques that may be utilised to create effective decision assistance for healthcare applications. A significant contribution of this work is to narrow the research gap for developing an efficient decision support system for medical applications. Keywords: Decision Support System, Heart Disease, Machine Learning, Medical Science, Disease Prediction, Healthcare.
How to Cite
Rajesh Kumar Singh, Dr. Kalpana Sharma, Shimoo Firdous. (1). MACHINE LEARNING ALGORITHMS IN HEALTHCARE: A REVIEW. International Journal Of Innovation In Engineering Research & Management UGC APPROVED NO. 48708, EFI 8.059, WORLD SCINTIFIC IF 6.33, 10(2), 01-06. Retrieved from http://journal.ijierm.co.in/index.php/ijierm/article/view/1177
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