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Machine Learning in Healthcare System: Role, Importance and its Applications

1Akhilesh Kumar Gond, 2Namrata Raj, 3Amrita Raj

1akhilesh7893@gmail.com, 2 rajnamrata28693@gmail.com, 3amritaraj4501@gmail.com 1Assistant Professor, Meerut Institute of Technology, Meerut, India

2Research Scholar, Department of Computer Science & Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India

3Guest Faculty, Department of Computer Science & Engineering, Institute of Engineering and Technology, Deen Dayal Upadhyaya Gorakhpur University, Gorakhpur, India

Abstract: With the growth of technology in the healthcare field, medical services are becoming faster, smarter, and more reliable. Machine Learning (ML) plays a very important role in this improvement. It helps doctors and hospital staff to handle large amounts of patient data easily and make better decisions in less time. Machine Learning provides new tools and smart techniques that help doctors get useful information from real-time data. This helps them give the right treatment at the right time, avoid mistakes, and take better care of patients. ML also helps in reducing the workload of healthcare workers by supporting them with accurate results and predictions. ML is now commonly used in healthcare for analysing medical data, finding hidden problems, recognizing patterns, and helping in the early detection of diseases. This paper reviews some the major researches that have been carried out recently in the field of health care with enhanced technology of artificial intelligence.

Keywords: Machine learning, Healthcare, Artificial Intelligence, Supervised Learning, Unsupervised Learning, Electronic Health Records.