Predictive Analytics in Healthcare, Volume 1

Healthcare delivery is progressing into a format wherein analysis of a combination of disease data and patient data using predictive analytics provides additional information for physicians and healthcare providers to make more accurate detection, diagnosis, and treatment decisions. This is a unique book offering a novel course on Predictive Analytics in Healthcare. In this book, the focus in chapters is 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. This book aims to provide comprehensive information to guide physicians, medical students, hospital administrators, biomedical engineering students, data scientists, and the industry in the proper identification of analytics applications in healthcare. Part of IPEM–IOP Series in Physics and Engineering in Medicine and Biology.

Key features

• Presents an overview of Predictive Analytics for physicians, medical students, biomedical engineers, and data scientists in the health care domain.

• Identifies and presents the several existing applications of analytics in healthcare domains such as public health, women’s health, telemedicine, and neurology, so that readers specializing in the particular field can have a comprehensive overview of all methodologies already in place.

• Enables readers to identify what new applications are needed to advance the use of analytics in their field.

• Presents case studies for the reader to understand how to us predictive analytics to bring their ideas to fruition.