This book presents soft computing techniques and applications used in healthcare systems, along with the latest advancements. Written as a guide for assessing the roles that these techniques play, the book also highlights implementation strategies, lists problem-solving solutions, and paves the way for future research endeavors in smart and next-generation healthcare systems.
This book provides applications of soft computing techniques related to healthcare systems and can be used as a reference guide for assessing the roles that various techniques, such as machine learning, fuzzy logic, and statical mathematics, play in the advancements of smart healthcare systems. The book presents the basics as well as the advanced concepts to help beginners, as well as industry professionals, get up to speed on the latest developments in healthcare systems. The book examines descriptive, predictive, and social network techniques and discusses analytical tools and the important role they play in finding solutions to problems in healthcare systems. A framework of robust and novel healthcare techniques is highlighted, as well as implementation strategies and a setup for future research endeavors.
Healthcare Systems Using Soft Computing Techniques is a valuable resource for researchers and postgraduate students in healthcare systems engineering, computer science, information technology, and applied mathematics. The book introduces beginners to—and at the same time brings industry professionals up to speed with—the important role soft computing techniques play in smart healthcare systems.
Table of Contents
Chapter 1 Computational Intelligence for Healthcare
Abhilasha Chaudhuri and Tirath Prasad Sahu
Chapter 2 Analysis of Recurrent Neural Network and Convolution Neural Network Techniques in Blood Cell Classification
Tatwadarshi P. Nagarhalli
Chapter 3 Evaluating the Effectiveness of the Convolution Neural Network in Detecting Brain Tumors
Tatwadarshi P. Nagarhalli, Sneha Mhatre, Ashwini Save, and Sanket Patil
Chapter 4 Implementation of Machine Learning in Color Perception and Psychology: A Review
Anusruti Mitra, Dipannita Basu, and Ahona Ghosh
Chapter 5 Early Recognition of Dynamic Sleeping Patterns Associated with Rapid Eyeball Movement Sleep Behavior Disorder of Apnea Patients Using Neural Network Techniques
Prateek Pratyasha and Saurabh Gupta
Chapter 6 Smart Attendance cum Health Check-up Machine for Students/Villagers/Company Employees
Pranjal Patel, Shriram Sharma, Pritesh Sutrakar, Hemant Kumar, Devender Pal Singh, and Menka Yadav
Chapter 7 Oral Histopathological Photomicrograph Classification Using Deep Learning
Rajashekhargouda C. Patil and P. K. Mahesh
Chapter 8 Prediction of Stage of Alzheimer’s Disease DenseNet Deep Learning Model
Yogesh Kumar Rathore and Rekh Ram Janghel
Chapter 9 An Insight of Deep Learning Applications in the Healthcare Industry
Deevesh Chaudhary, Prakash Chandra Sharma, Akhilesh Kumar Sharma, and Rajesh Tiwari
Chapter 10 Expand Patient Care with AWS Cloud for Remote Medical Monitoring
Parul Dubey and Pushkar Dubey
Chapter 11 Privacy and Security Solution in Wireless Sensor Network for IoT in Healthcare System
Rajesh Tiwari, Deevesh Chaudhary, Tarun Dhar Diwan, and Prakash Chandra Sharma
Chapter 12 An Epileptic Seizure Detection and Classification Based on Machine Learning Techniques
Lokesh Singh, Rekh Ram Janghel, and Satya Prakash Sahu
Chapter 13 Analysis of Coronary Artery Disease Using Various Machine Learning Techniques
Saroj Kumar Pandey, Rekh Ram Janghel, Shubham Shukla, and Yogadhar Pandey
