Hi all,

It is my pleasure to announce that I am co-editing an upcoming Springer book called "Tracking and Preventing Diseases with Artificial Intelligence". If you have some research related to this topic, please consider submitting a chapter! The deadline is the 13th November 2020 (extended).

More details about the book can be found here below:

Call for Book Chapters on “Tracking and Preventing Diseases with Artificial Intelligence ” to be published by Springer in 2021

Scope of the book
All around the world, the spread of infectious diseases is a major concern as it directly impacts the health of people. In spite of the medical advancements, there remain several incurable diseases for which prevention is the only cure. Recently, Artificial Intelligence (AI) has been rapidly adopted to assist physicians in diagnosis, disease tracking, prevention and control. Due to increasing availability of electronic healthcare data and rapid progress of analytics techniques, a lot of research is being carried out in this area applying machine learning/deep learning techniques to assist the medical professionals for making a preliminary evaluation. This book aims to demonstrate the potential and advancements of artificial intelligence for tracking and preventing diseases. Prospective authors are invited to submit their original contributions that deals with theory, methods, systems and applications of Artificial Intelligence for tracking and preventing diseases.

The topics of interest include, but not limited to:
For better understanding by the readers, basic concepts, related work reviews, illustrations, empirical results and tables are expected to be integrated in each chapter to give the readers a maximum understanding and allow to easily follow the methodology and the results presented. The target audience of the edited book will come from different backgrounds. The audience will share and exchange novel knowledge, methods, industry experience and theories. The chapter contributions should described solving challenging issues using machine learning or data mining in any of the following domains:

Artificial intelligence in health informatics
AI for predicting diseases
Predicting disease progression using biomarkers
Disease prevention using AI
Data mining approaches for medical pathway analysis
Big data analytics for predicting diseases
Artificial intelligence for medical resource management
Biomedical image analysis
AI for infectious disease tracking
Computer-aided automated diagnosis using AI
Devices, systems and innovative technologies for disease tracking
Wearable technology for disease tracking
IoT for disease tracking
AI for personal health management
AI-based systems for training health professionals
Software and public datasets for health informatics
Issues, challenges and future prospects in health informatics
Case studies related to incurable diseases, neurogenerative diseases, etc.

Important dates

Chapter Submission Deadline: 15th October 2020
Acceptance Notification: 15th December 2020
Camera Ready Submission: 31st December 2020

Main Highlights

Book series: Intelligent Systems Reference Library
The books of this series are submitted to ISI Web of Science, SCOPUS, DBLP and Springerlink
No publication fees

Submission guidelines

Please visit Book Manuscript Guidelines for chapter format (Word & Latex)
Maximum 30 pages per chapter

All submissions should be done by email to:
profmayurimehta@gmail.com, philfv8@yahoo.com, maulika.sandip@gmail.com, jerrylin@ieee.org

Editorial Team

Dr. Mayuri Mehta
Dr. Philippe Fournier-Viger
Dr. Maulika S. Patel
Dr. Jerry Chun-Wei Lin



Edited 4 time(s). Last edit at 10/20/2020 06:12PM by webmasterphilfv.

The deadline has been extended to 13th November!