Pre-Screening Systems for Early Disease Prediction, Detection, and Prevention

Pre-Screening Systems for Early Disease Prediction, Detection, and Prevention

Thierry Edoh (Technical University of Munich, Germany), Pravin Pawar (Philips Research, India) and Sagar Mohammad (Philips Research, India)
Release Date: October, 2018|Copyright: © 2019 |Pages: 395
ISBN13: 9781522571315|ISBN10: 1522571310|EISBN13: 9781522571322|DOI: 10.4018/978-1-5225-7131-5


With the development of advanced screening procedures and techniques, certain limitations of the existing screening processes for disease methodologies and paradigms have been noted. More accurate and less invasive screening methods are needed to diagnose and treat health disorders and diseases before symptoms appear.

Pre-Screening Systems for Early Disease Prediction, Detection, and Prevention is a pivotal reference source that utilizes advanced ICT techniques to solve problems in health data collection, analysis, and interpretation, as well as improve existing health systems for the advanced screening of diseases. Using non-invasive biomedical sensor devices and internet of things technology, this book examines safer methods to accelerate disease detection and effectively treat patients while challenging previously used pre-screening processes. While highlighting topics such as the applications of machine learning, patient safety, diagnostics models, and condition management, this publication is ideally designed for healthcare specialists, researchers in health informatics, industry practitioners, and academics.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Applications of Machine Learning
  • Biomedical Sensors
  • Body Area Network
  • Clinical Decision Support Systems
  • Condition Management
  • De-Verticalization
  • Diagnostics Models
  • Evaluation Approaches
  • Innovative Approaches
  • IOT Screening
  • M-Health
  • Patient Safety

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Thierry Edoh is an associate researcher at the University of Bonn (Germany)/department of pharmacy, visiting associate lecturer at the Institute of Mathematics and Physics (IMSP)/University Abomey-Calavi, (Benin-Africa), visiting lecturer at IUT Lokossa (Benin-Africa), and an associate researcher at Technical University of Munich/department of Applied Software Engineering (Germany). He received his Diploma in computer sciences from the Technical University of Munich in Germany and hold a Ph.D. at the German Federal Army University, where he worked for several years on the improvement of rural health care provision and access to healthcare in developing countries using ITC systems. His research interests are mobile computing, pervasive health and health informatics, telehealth and IoT in medical applications. He is an expert in telemedicine/telehealthcare, health informatics, and bio-Informatics. He is also working on an Information system in Drug Regulatory Affairs.
Pravin Pawar has 15+ years of comprehensive international research and software development experience in the cutting-edge informatics projects worldwide. He received education from premier institutions - IIT Bombay (M.Tech. CSE), University of Twente (Ph.D. CSE) and credited with 5 filed patents, 50 peer reviewed publications and one book. His research interests are health informatics, data analytics, machine learning, deep learning, clinical data management, mobile computing, big data applications, service-oriented computing. He has leadership and management experience in academia, research institutes and software industry. He likes to travel and experience different cultures.
Sagar P. Mohammad is a Senior Systems Architect at Philips Research. He received his B.Tech. in Biomedical Engineering from Cochin University of Science and Technology and M.Tech. in Electronic Systems from the department of Electrical Engineering, Indian Institute of Technology Bombay. He has filed patent to his credit. He started his career with Defence Research and Development Organisation and led the Sensors and Instrumentation group of the Defence Bio-engineering and Electromedical laboratory. He then moved to Wipro Technologies and was Architect for Integrated Medical Device programs. Over the 20+ years of his professional career, he was instrumental in development of various medical devices & healthcare solutions. His interests include design for safety, design for reliability, wireless sensor networks, and IoT. He is a member of the The Institute of Electrical and Electronics Engineers (IEEE), The Photonics Society of India(PSI), and The Biomedical Engineering Society of India (BMESI).