Prospects of machine learning algorithms in healthcare industry: A review

Machine Learning (ML) is one of the numerous cutting-edge, advanced technology applications which has grown considerably in popularity over the past decade. It is considering one of the broadly used and ubiquitous in a varied range of fields and essential to many sectors of the economy, including sa...

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Bibliographic Details
Main Authors: Sharma, Shikha, Mittal, Ruchi, Goyal, Nitin
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Economics
Health care
Machine learning
Performance measurement
Online Access:Get full text
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Summary:Machine Learning (ML) is one of the numerous cutting-edge, advanced technology applications which has grown considerably in popularity over the past decade. It is considering one of the broadly used and ubiquitous in a varied range of fields and essential to many sectors of the economy, including safety, healthcare, and economics. Discover patterns in health data sources and to better antedate disorders, machine learning is applied. Machine learning algorithms provide a notable contribution to illness prediction. The foremost aim of this study is to assist academics and practitioners in selecting the utmost appropriate machine learning algorithm deployed in the healthcare industry. The findings could provide selection of finest machine learning algorithms with performance metrics in comparison with other algorithms for forecasting varied diseases such as breast cancer, sickle cell disease, diabetes, liver disease etc.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0179864