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

Editors

1. Dr. Thierry Edoh, Associate Researcher
Chair for Applied Software Engineering, Technical University of Munich –
Germany. Email: edoh@in.tum.de (university)
Associate Researcher, RFW-University of Bonn, Dept. of Pharmacy
Oscar.edoh@gmail.com (private)


2. Dr. Pravin Pawar, Sr. Scientist, Philips Research, Manyata Tech Park, Nagawara,
Bangalore – 560045, India.
Email: pravin.pawar@philips.com

3. Sagar P. M., System Architect, Philips Research, Manyata Tech Park, Nagawara,
Bangalore – 560045, India.
Email: sagar.pm@philips.com

Call for Chapters

Proposals Submission Deadline: November 30, 2017
Full Chapters Due: February 28, 2018
Submission Date: May 30, 2018

Introduction

The book proposal is an interdisciplinary effort that combines two major domains – healthcare and ICT. We advocate using advanced ICT techniques to solve problems in health data collection (with focus on IOT/Crowdsening), analysis (modern data analytics methods and Tools) and interpretation as well as improve existing health systems – in particular for pre-screening and sensing of diseases. The goal of disease pre-screening is to detect potential health disorders or diseases in people who do not have any symptoms of disease. Non-invasive biomedical sensor devices offer a variety of benefits such as early detection and thus prevention of the risk of infection, ease of use and suitability for long-term monitoring. This book is focused on using non-invasive biomedical sensor devices, IOT solutions, and knowledge database solutions for pre-screening of diseases so that the risk of disease is reduced, or it can be detected early enough to treat the disease most effectively.

Objective

The pervasive and ubiquitious disease sensing and pre-screening for early detection of medical conditions refers to using pervasive devices such as body sensor networks or Body Area network to autonomously and automatically collect medical condition of a patient.
Our effort should be focused on investigating the limitation and challenges facing the tools and methods of traditional non-ICT-based screening solution as well as invasive methods so as to promote the development of innovative ICT tools to increase patient’s adherence to screening programs and the creation of less invasive tools. In order to improve the efficiency and interoperability of health data collection, we propose using novel power-saving Internet of Things technology based on emerging standards to create vertical m-health applications on top of a de-verticalized middleware.


Target Audience

The target audience for this volume are as follows:
1. Researchers in health informatics
2. Industry practitioners in health informatics
3. Academicians working in health informatics

This volume is also suitable as a reference book for the following graduate-level courses:
1. Health Informatics course
2. IoT applications in healthcare course


Recommended Topics

Topics include the following, but are not limited to:
1. Introduction to disease pre-screening and pre-screening systems
2. Innovative Approaches for pre-screening and sensing of diseases
3. Body Area Network/Body Sensor Network in pre-screening for diseases
4. Pervasive and ubiquitous data collection in IOT-based pre-screening systems
5. Patient Safety with regard to the pre-screening systems
6. Efficiency, security, de-verticalization in medical IOT
7. Application Areas & Case studies (such as)
a. Detecting and preventing diabetes
b. Sensing obesity
c. Improved pneumonia detection
8. Applications of machine learning in diseases pre-screening


Submission Procedure

Researchers and practitioners are invited to submit on or before November 30, 2017, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by December 15, 2017 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by February 28, 2017, and all interested authors must consult the guidelines for manuscript submissions at http://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Pre-Screening Systems for Early Disease Prediction, Detection, and Prevention.

All manuscripts are accepted based on a double-blind peer review editorial process.


Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. For additional information regarding the publisher, please visit www.igi-global.com. This publication is anticipated to be released in 2018.

Important Dates

Proposal Submission Deadline: ......................................................November 30, 2017
Full chapter Submission: .................................................................February 28, 2018
Review Process: ...............................................................................February 28 to April 15, 2018
Review Results to Chapter Authors: .................................................April 30, 2018
Revised Chapter Submission from Chapter Authors: .......................May 30, 2018
Final Acceptance Notifications to Chapter Authors: .........................June 15, 2018
Submission of Final Chapters to Editor: ...........................................June 30, 2018
Final Deadline for Sending Complete
Materials to IGI Global: .....................................................................July 30, 2018


Inquiries

1. Dr. Thierry Edoh, Associate Researcher
Chair for Applied Software Engineering,
Technical University of Munich –Germany.
Email: edoh@in.tum.de (university)
Oscar.edoh@gmail.com (private)

2. Dr. Pravin Pawar, Sr. Scientist
Philips Research, Manyata Tech Park, Nagawara,
Bangalore – 560045, India.
Email: pravin.pawar@philips.com

3. Sagar P. M., System Architect,
Philips Research, Manyata Tech Park, Nagawara,
Bangalore – 560045, India.
Email: sagar.pm@philips.com


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