ABSTRACT
Knowledge Modelling and Big Data Analytics in Healthcare: Advances and Applications focuses on automated analytical techniques for healthcare applications used to extract knowledge from a vast amount of data. It brings together a variety of different aspects of the healthcare system and aids in the decision-making processes for healthcare professionals.
The editors connect four contemporary areas of research rarely brought together in one book: artificial intelligence, big data analytics, knowledge modelling, and healthcare. They present state-of-the-art research from the healthcare sector, including research on medical imaging, healthcare analysis, and the applications of artificial intelligence in drug discovery.
This book is intended for data scientists, academicians, and industry professionals in the healthcare sector.
TABLE OF CONTENTS
section Section I|85 pages
Big Data in Healthcare
chapter 1|18 pages
Intelligent Healthcare Systems
section Section II|76 pages
Medical Imaging
section Section III|64 pages
Computational Genomics
section Section IV|56 pages
Applications in Clinical Diagnosis
chapter 12|27 pages
Tracking Slow Modulations of Effective Connectivity for Early Epilepsy Detection
section Section V|58 pages
Issues in Security and Informatics in Healthcare