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Predictive Analytics in Healthcare, Volume1

Transforming the future of medicine
Dr Vinithasree Subbhuraam


All stakeholders in the health paradigm, including payers, providers and vendors, agree that predictive analytics can help to increase the quality of health care, prevent adverse events, improve overall health and decrease costs. AI and analytics books that provide a comprehensive coverage of the technical implementation details are available. However, there is a lack of books that present an application-oriented treatment of analytics in healthcare.

The purpose of this book is to present to the reader details on where and how analytics can be employed to improve healthcare towards its implementation. In order to achieve this purpose, the focus in chapters will be placed on reviewing and analysing the current and future applications of analytics in several health care disciplines, which can later on contribute to technical implementation.

About Editors

Table of Contents

1 Predictive Analytics in Healthcare
2 Predictive Analytics in Public Health Surveillance
3 FemTech Solutions for Advancing Women's Health
4 Telemedicine
5 Pervasive Healthcare Applications in Neurology
6 Extraction of Fetal-Head-Section from Ultrasound Images using a Soft-computing based Image Mining System – A Study with Kapur's Thresholding and Segmentation
7 Classification of Retinal Fundus Images into Healthy/AMD Class using Mayfly Algorithm Selected Features


Hardback ISBN: 9780750323109

Ebook ISBN: 9780750323123

Publisher: Institute of Physics Publishing

Series: IPEM-IOP Series in Physics and Engineering in Medicine and Biology


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