Advances in Mobile Health Technology
A Research Perspective
1st Edition
Published on 30. November 2022
Book
Paperback/Softback
126 pages
978-1-032-37260-0 (ISBN)
Description
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.
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.
More details
Series
Language
English
Place of publication
Oxford
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
General and Professional Practice & Development
Illustrations
51 s/w Abbildungen, 46 s/w Photographien bzw. Rasterbilder, 5 s/w Zeichnungen, 2 s/w Tabellen
2 Tables, black and white; 5 Line drawings, black and white; 46 Halftones, black and white; 51 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 8 mm
Weight
225 gr
ISBN-13
978-1-032-37260-0 (9781032372600)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
E-Book
11/2022
1st Edition
Chapman & Hall/CRC
€63.49
Available for download
E-Book
11/2022
1st Edition
Chapman & Hall/CRC
€63.49
Available for download
Book
11/2022
1st Edition
CRC Press
€170.20
Shipment within 10-20 days
Person
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).
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).
Content
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
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