Machine Learning in Health Care
- Authors: Basil Bartholomew Duwa1, Dilber Uzun Ozsahin2, Ilker Ozsahin3
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View Affiliations Hide Affiliations1 Department of Biomedical Engineering, Faculty of Engineering, Near East University, Nicosia/TRNC, Mersin 10, Turkey 2 Department of Biomedical Engineering, Faculty of Engineering, Near East University, Nicosia/TRNC, Mersin 10, Turkey 3 Department of Biomedical Engineering, Faculty of Engineering, Near East University, Nicosia/TRNC, Mersin 10, Turkey
- Source: Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare , pp 5-20
- Publication Date: November 2021
- Language: English
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Machine learning (ML) as a subset of Artificial intelligence is gradually getting accepted in the healthcare industry. Thousands of data are revealed to be analyzed from different sources in healthcare through machine learning algorithms. ML is unarguably essential in disease diagnoses and a variety of healthcare application services. In this study, the application of ML in healthcare was focused on using artificial intelligence techniques based on different scientific studies. ML is essential in carrying out special, efficient healthcare services with ease for health professionals.
Hardbound ISBN:
9781681088723
Ebook ISBN:
9781681088716
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