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This book aims to explore technology solutions and systems to help people in remote areas in order to improve medical care. Access to health care services is critical to good health, but residents of remote areas face a variety of access barriers. The obstacles faced by health care providers and patients in rural areas are very different from those in urban areas. This could be caused by economic factors, cultural and social differences, educational deficiencies, lack of recognition by legislators, and the sheer isolation of living in inland areas, all of which conspire to create health care…mehr

Produktbeschreibung
This book aims to explore technology solutions and systems to help people in remote areas in order to improve medical care. Access to health care services is critical to good health, but residents of remote areas face a variety of access barriers. The obstacles faced by health care providers and patients in rural areas are very different from those in urban areas. This could be caused by economic factors, cultural and social differences, educational deficiencies, lack of recognition by legislators, and the sheer isolation of living in inland areas, all of which conspire to create health care disparities and hinder people living in inland areas in their struggle to lead normal, healthy lives. Based on available analyses, further progress is needed to promote appropriateness of care, address geographic imbalances in health care use, and prevent the spread of risk factors including chronic diseases and regular health problems. To eradicate these problems, it is essential to develop a telemedicine system with ICT integration that will help patients in inland areas by using contemporary technologies: it would thus be possible for patients to meet their goals using these systems even without the presence of a physician since authenticated prescriptions are generated by doctors and can be transmitted to patients electronically.

The volume will contain a number of ideas from researchers who are already working to find solutions and will give insights into exploring innovative methods and new systems developed.

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Autorenporträt
 Dr Mamta Mittal is working as Head and Associate Professor (Data Analytics and Data Science) in Delhi Skill & Entrepreneurship University (under Government of NCT Delhi), New Delhi. She received PhD in Computer Science and Engineering from Thapar University, Patiala; MTech (Honors) in Computer Science & Engineering from YMCA, Faridabad and B. Tech in Computer Science & Engineering from Kurukshetra University Kurukshetra in 2001. She has been teaching for the last 19 years with an emphasis on Data Mining, Machine Learning, DBMS and Data Structure. Dr Mittal is a Lifetime member of CSI and published and communicated more than 90 research papers in SCI, SCIE, Scopus indexed Journals. She holds five patents and two copyrights in the area of Artificial Intelligence, IoT and Deep Learning. Dr Mittal has edited/authored many books with reputed publishers like Springer, IOS Press, Elsevier and CRC Press and is working on DST approved Project "Development of IoT based hybrid navigation module for mid-sized autonomous vehicles" with a research grant of 25 Lakhs. Currently, she is guiding PhD scholars in Machine Learning, Computer Vision and Deep Learning areas. She is book Series editor of Health Informatics & Healthcare: using AI & Smart Computing & another Series Edge AI in future Computing with CRC Press, Taylor & Francis, USA.  Dr Mittal is an Editorial Board member with InderScience, Bentham Science, Springer and Elsevier and has Chaired a number of Conferences   Dr Gopi Battineni has completed Ph.D. from University of Camerino, Italy in Life and health Sciences (One health); M.S. (Honours) in Enterprise System Professional from Sheffield Hallam University, U.K.; International Masters in Enterprise Engineering from University of Bordeaux, France, and B. Tech (First class with distinction) in Electronics and Communication Engineering (E.C.E.) from JNT University, Kakinada. His research interest in the area of machine learning, deep learning, Data Mining, process mining, Telemedicine, Epidemiology, Text mining, and Predictive analytics. He has completed a project called Marine Doctor that sponsored by International Transport Federation (ITF), UK. He has published many research papers in SCI indexed & Scopus indexed journals, and Conferences. He is reviewer of many reputed journals & conferences. He has given invited talks in FDP and conferences. Presently, he is currently doing post-doctoral at the University of Camerino, Italy in the department of Telemedicine and Telepharmacy.