1st Edition

Advances in Mobile Health Technology A Research Perspective

By Sinjini Mitra Copyright 2023
138 Pages 51 B/W Illustrations
by Chapman & Hall

138 Pages 51 B/W Illustrations
by Chapman & Hall

138 Pages 51 B/W Illustrations
by Chapman & Hall

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... Read more

Chapter 1. Introduction to Mobile Healthcare (mHealth)

Chapter 2. The Evolution and History of mHealth and Fitness Trackers

Chapter 3. How does mHealth Technology work

Chapter 4. Advances in mHealth Research

Chapter 5. mHealth Technology and Social Media

Chapter 6. Issues and Challenges in mHealth Technology

Chapter 7. The Road Ahead for mHealth

Biography

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).