Abstract
Machine learning (ML) applications are everywhere and are used in many real-world applications. It is essential in several areas, such as healthcare and medical data protection. ML is applied to analyse medical records and disease forecasts. In our study, we review several ML algorithms, applications, techniques, opportunities, and challenges for the healthcare sector. This paper fills a research gap for efficient use of ML algorithms and applications in the healthcare sector.
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