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The aim of this book is to inform readers about mHealth , from its history to the current research developments and challenges related to privacy and security issues. The book's intended audience includes individuals interested in learning about mHealth , from students to researchers and practitioners working in this field.

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Produktbeschreibung
The aim of this book is to inform readers about mHealth, from its history to the current research developments and challenges related to privacy and security issues. The book's intended audience includes individuals interested in learning about mHealth, from students to researchers and practitioners working in this field.


Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
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).