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xviii Preface

Chapter 4 addresses a machine learning model to automate the classification of benign and malig-
nant tissue image. In Chapter 5, the author describes the use of multimedia and IoT to detect TTH and to
analyze the chronicity. It also includes the concept of big data for the storage and processing the data,
which will be generated while analyzing the TTH stress through the Internet of Things (IoT). Chapter 6
discusses how to train a fMRI dataset with different machine learning algorithms such as Logistic
Regression and Support Vector Machine towards the enhancement of the precision of classification.
In Chapter 7, the authors developed a prototype model for healthcare monitoring systems use the
IoT and cloud computing. These technologies allow for monitoring and analyzing of various health
parameters in real time. In Chapter 8, Onik et al. includes an overview, architecture, existing issues,
and future scope of blockchain technology for successfully handling privacy and management of
current and future medical records. In Chapter 9, Sahoo et al. describes the intelligent health recom-
mendation system (HRS) that provides an insight into the use of big data analytics for implementing an
effective health recommendation engine and shows a path of how to transform the healthcare industry
from the traditional scenario to a more personalized paradigm in a tele-health environment. Chapter 10
discussed the interactions between drugs and proteins that was carried out by means of molecular
docking process. Chapter 11 integrates the kidney inspired optimization and fuzzy c-means algorithm
to solve nonlinear problems of data mining.
Topics presented in each chapter of this book are unique to this book and are based on unpublished
work of contributing authors. In editing this book, we attempted to bring into the discussion all the new
trends and experiments that have been performed in intelligent healthcare management systems using
big data analytics. We believe this book is ready to serve as a reference for a larger audience such as
system architects, practitioners, developers, and researchers.

Nilanjan Dey
Techno India College of Technology, Rajarhat, India
Himansu Das
KIIT, Bhubaneswar, India
Bighnaraj Naik
VSSUT, Burla, India
Himansu Sekhar Behera
VSSUT, Burla, India