Exploratory Data Analytics for Healthcare [Paperback]

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.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.Dr. R. Lakshmana Kumar is an Assistant professor in the Computer Applications Department and currently also leading the technical training team in Hindusthan College of Engineering and Technology, Coimbatore. Tamil Nadu. His PhD is from Anna University, Chennai and his Research is on Semantic Web Services. Part of his PhD work was funded by South Korea. He is a global chapter lead for MLCS [Machine Learning for Cyber Security] for the Coimbatore chapter. He is currently allied with company-specific training of Infosys Campus Connect, Oracle WDP and Palo Alto Networks. He has a passion for software development and holds an international certification on SCJP (Sun Certificated Java Programmer) and SCJWCD (Sun Certificate Java Web Component Developer). He is familiar with programming languages like Java, Python, and PHP. He is involved with rl3#