Data Science for Effective Healthcare Systems

Data Science for Effective Healthcare Systems has a prime focus on the importance of data science in the healthcare domain. Various applications of data science in the health care domain have been studied to find possible solutions. In this period of COVID-19 pandemic data science and allied areas plays a vital role to deal with various aspect of health care. Image processing, detection & prevention from COVID-19 virus, drug discovery, early prediction, and prevention of diseases are some thrust areas where data science has proven to be indispensable. Key Features: The book offers comprehensive coverage of the most essential topics, including: Big Data Analytics, Applications & Challenges in Healthcare Descriptive, Predictive and Prescriptive Analytics in Healthcare Artificial Intelligence, Machine Learning, Deep Learning and IoT in Healthcare Data Science in Covid-19, Diabetes, Coronary Heart Diseases, Breast Cancer, Brain Tumor The aim of this book is also to provide the future scope of these technologies in the health care domain. Last but not the least, this book will surely benefit research scholar, persons associated with healthcare, faculty, research organizations, and students to get insights into these emerging technologies in the healthcare domain.

Contents Preface............................................................................................................................................. vii Editors...............................................................................................................................................ix 1. Big Data in Healthcare: Applications and Challenges....................................................1 Monika, Pradeep Kumar, and Sanjay Tyagi 2. Impact Analysis of COVID-19 on Different Countries: A Big Data Approach........ 15 Reema Lalit and Nitin Sharma 3. Overview of Image Processing Technology in Healthcare Systems...........................25 Ankit Singh and Sivanesan Dhandayuthapani 4. Artificial Intelligence to Fight against COVID-19 Coronavirus in Bharat................ 37 Pushpendra Kumar Verma and Preety 5. Classification-Based Prediction Techniques Using ML: A Perspective for Health Care.............................................................................................................................43 Meenakshi Malik, Aditi Kaushik, and Rekha Khatana 6. Deep Learning for Drug Discovery: Challenges and Opportunities......................... 57 Aarti 7. Issues and Challenges Associated with Machine Learning Tools for Health Care System............................................................................................................................ 69 Parul Chhabra and Pradeep Kumar Bhatia 8. Real-Time Data Analysis of COVID-19 Vaccination Progress Over the World.......79 Bijan Paul, Aditi Roy, Khan Raqib Mahmud, and Mohammad Rifat Rashid 9. Descriptive, Predictive, and Prescriptive Analytics in Healthcare.............................89 Kalimullah Lone and Shabir Ahmad Sofi 10. IOT Enabled Worker Health, Safety Monitoring and Visual Data Analytics........ 105 Selvaraj Kesavan, Subhash Almel, and B.S. Muralidhar 11. Prevalence of Nomophobia and Its Association with Text Neck Syndrome and Insomnia in Young Adults during COVID-19...................................................... 117 Richa Hirendra Rai, Vishal Mehta, Pallavi, and Sachindra Pratap Singh 12. The Role of AI, Fuzzy Logic System in Computational Biology and Bioinformatics...................................................................................................................... 133 A.H.M. Shahariar Parvez, Sadiq Iqbal, Subrato Bharati, Prajoy Podder, Pinto Kumar Paul, and Aditya Khamparia 13. Analysis for Early Prediction of Diabetes in Healthcare Using Classification Techniques............................................................................................................................ 149 Navneet Verma, Sukhdip Singh, and Devendra Prasad 14. Nomenclature of Machine Learning Algorithms and Their Applications............. 161 Ritu Aggarwal and Suneet Kumar 15. Breast Cancer Prognosis Using Machine Learning Approaches............................... 169 Nadeem Yousuf Khanday and Shabir Ahmad Sofi 16. Machine Learning-Based Active Contour Approach for the Recognition of Brain Tumor Progression................................................................................................... 183 Amit Chopra, Dinesh C. Verma, and Rajneesh Gujral 17. A Deep Neural Networks-Based Cost-Effective Framework for Diabetic Retinopathy Detection....................................................................................................... 199 Pawan Kumar Upadhyay, Siddharth Batra, and Sunny Dhama Index.............................................................................................................................................. 213

Dr Hari Singh has been an Assistant Professor (Senior Grade) in the Department of Computer Science and Engineering and Information Technology at Jaypee University of Information Technology, Solan, HP, India since 2018. He has a PhD, MTech and B.Engg.(Honors) in Computer Science and Engineering. He earned his PhD degree from Thapar University, Patiala, Punjab, India in 2017. He has more than twenty years of teaching experience that includes significant administrative and research experience. His areas of interest are Databases, Data Science, Big Data Analytics, Distributed and Parallel Computing, Grid Computing, Cloud Computing, and Machine Learning. He has many awards, honors, and recognitions to his credit. He delivered several invited/expert talks on recent research topics at renowned institutes and universities. He has published several research papers in SCI/Scopus, peer-reviewed International Journals and book chapters. He has also presented and published many research papers in National/International Conferences. Dr Singh has also worked as an editor of proceedings of various International/National Conferences. He has attended/participated in several workshops at reputed Institutes/Universities/Organizations. He has organized several Conference/Seminar/Workshops. He has supervised Post Graduate Thesis/Dissertations and handled an AICTE sponsored research project under the RPS scheme and one consultancy project. He has been a member of professional societies, such as CSI, ISTE, IEEE, and has been a member/reviewer of several Scopus-Indexed journals. Dr Ravindara Bhatt is an Associate Professor in the Department of Computer Science and Engineering and Information Technology at Jaypee University of Information Technology, Waknaghat, India. Ravindara joined the Department of Computer Science and Engineering and Information Technology, Jaypee University of Information Technology, in 2006. Ravindara earned his PhD degree from Indian Institute of Technology, Kharagpur. Dr Ravindara has over 20 years of extensive experience in Academics and Industry. His areas of interest are Data Science, Big Data, Machine Learning, and Wireless Sensor Networks. He has published several research papers in SCI/Scopus, peer-reviewed International Journals. He has also presented and published many research papers in National/International Conferences and is a reviewer for various renowned international journals. Mr Prateek Thakral is currently an Assistant Professor in the Department of Computer Science and Engineering, Jaypee University of Information Technology, Waknaghat Solan. He has earned a B.Tech in Information Technology and an M.Tech in Computer Engineering from Kurukshetra University, Kurukshetra in 2010 and 2013, respectively. Before joining JUIT, he was an Assistant Professor (on contract) at the National Institute of Technology Kurukshetra for four years. He has 8 years of teaching experience in total. He has published about 10 research papers as various reputed book chapters, journals and international conferences. He is currently serving as a member of the Computer Society of India (CSI). Dr Dinesh Chander Verma holds a PhD(CSE), MTech(IT), MCA and MPhilin in Computer Science. He has more than 17 years of teaching experience that includes significant administrative, research, and industrial exposure. He has delivered many expert talks, chaired sessions, and reviewed a good number of research articles. His areas of interest include Machine Learning, MANET, IoT, and Data Science. He is a Life Member of the Indian Society for Information Theory and Applications (ISITA). He has published several research articles, book chapters in Scopus/UGC Care/ESCI indexed journals. He has authored two books for UG courses and published one patent too. He has conducted several conferences/ seminars/ FDPs on recent emerging technologies and has mentored many industrial live projects on emerging technologies.