This book covers the fundamentals of ML (machine learning) and DL (deep learning) in the healthcare domain where these models are used to train the system and implicitly extract positive solutions. The main aim of this book is to highlight the role of ML/DL algorithms in improved healthcare diagnostic systems, processing EHRs, medical signal analysis, and consequently enhance the overall quality of life by enhancing disease diagnosis and life expectancy. Further, this book endows varied communities with its innovative advances in theory, modeling, statistical analysis, analytical approaches, analytical results, numerical simulation, computational structuring, and case studies related to applications of ML/DL models in the healthcare domain.
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