Exploratory data analytics for healthcare Visual analytics: scopes & challenges K. Hazarika GCET Gr. Noida India M IEEE Dr. A. Ambikapathy GCET Gr. Noida India M IEEE Shobana R. GCET Gr. Noida India M IEEE Dr. Amit Agrawal (ABES Engineering College Ghaziabad India Statistical methods and applications: a comprehensive reference for the healthcare industry Areeba Kazim Researcher DST Project Amity School of Engineering & Technology Dept. of CSE Amity University Noida UP India Dr. Achyut Shankar Assistant Professor Amity School of Engineering & Technology Dept. of CSE Amity University Noida UP India Muskan Jindal Bachelors of Technology (Computer Science) Amity School of Engineering & Technology Dept. of CSE Amity University Noida UP India Machine Learning Algorithms for Healthcare Data Analytic A review of challenges and opportunities in machine learning for healthcare M. Arvindhan Galgotias University D. Rajeshkumar Galgotias University. Exploratory data analysis helps to recognize natural patterns hidden in the data. This book describes the tools for hypothesis generation by visualizing data through graphical representation and provides insight into advanced analytics concepts in an easy way. The book addresses the complete data visualization technologies workflow explores basic and high level concepts of computer science and engineering in medical science and provides an overview of the clinical scientific research areas that enables smart diagnosis equipment. It will discuss techniques and tools used to explore large volumes of medical data and offers case studies that focus on the innovative technological upgradation and challenges faced today. The primary audience for the book includes specialists researchers graduates designers experts physicians and engineers who are doing research in this domain