Overview

The COVID-19 pandemic upended the lives of many and taught us the critical importance of taking care of one’s health and wellness. Technological advances, coupled with advances in healthcare, has enabled the widespread growth of a new area called mobile health or mHealth that has completely revolutionized how people envision healthcare today. Just as smartphones and tablet computers are rapidly becoming the dominant consumer computer platforms, mHealth technology is emerging as an integral part of consumer health and wellness management regimes. The aim of this book is to inform readers about the this relatively modern technology, from its history and evolution to the current state-of-the-art research developments and the underlying challenges related to privacy and security issues. The book’s intended audience includes individuals interested in learning about mHealth and its contemporary applications, from students to researchers and practitioners working in this field. Both undergraduate and graduate students enrolled in college-level healthcare courses will find this book to be an especially useful companion and will be able to discover and explore novel research directions that will further enrich the field.

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9781138369177

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Dr. Sinjini Mitra is a Professor at the Department of Information Systems and Decision Sciences (ISDS) in the college of Business and Economics at California State University, Fullerton (CSUF). At CSUF, she is also a faculty fellow of the Catalyst Center (interdisciplinary center on teaching and research for STEM [Science, Technology, Engineering and Mathematics] courses) and a faculty associate of the ECS Center for Cybersecurity. Prior to joining CSUF, she was a postdoctoral research associate at the University of Southern California’s Information Sciences Institute (USC-ISI), and a postdoctoral research associate at the Department of Statistics and CyLab at Carnegie Mellon University. Dr. Mitra earned her BSc in statistics from Presidency College, Kolkata, MStat from the Indian Statistical Institute, Kolkata, and PhD in statistics from Carnegie Mellon University, USA. Dr. Mitra’s research is interdisciplinary, and primary interests include data mining and business analytics, security and biometric authentication, and statistical modeling applications in education, healthcare and information systems. Her teaching interests include business statistics, data mining, data science and analytics. She is a member of the American Statistical Association (ASA), the Institute of Mathematical Statistics (IMS), and the Institute for Operations Research and Management Science (INFORMS). She has also received external grants to support her research work from the National Science Foundation (NSF) and National Institutes of Health (NIH).

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