Main description:

Covers the fundamentals of Machine Learning and Deep Learning in the context of healthcare applications
Discusses various data collection approaches from various sources and how to use them in Machine Learning/Deep Learning models
Integrates several aspects of AI-based Computational Intelligence like Machine Learning and Deep Learning from diversified perspectives which describe recent research trends and advanced topics in the field
Explores the current and future impacts of pandemics and risk mitigation in healthcare with advanced analytics
Emphazises feature selection as an important step in any accurate model simulation, ML/DL methods are used to help train the system and extract the positive solution implicitly

Contents:

Chapter 1 Common Data Interface for Sustainable Healthcare System

C. B. Abhilash, K. T. Deepak, Rajendra Hegadi, and Kavi Mahesh

Chapter 2 Brain-Computer Interface: Review, Applications and Challenges

Prashant Sengar and Shawli Bardhan

Chapter 3 Three-Dimensional Reconstruction and Digital Printing of Medical Objects in Purview of Clinical Applications

Sushitha Susan Joseph and Aju D

Chapter 4 Medical Text and Image Processing: Applications, Methods, Issues, and Challenges

Behzad Soleimani Neysiani and Hassan Homayoun

Chapter 5 Usage of ML Techniques for ASD Detection: A Comparative Analysis of Various Classifiers

Ashima Sindhu Mohanty, Priyadarsan Parida, and Krishna Chandra Patra

Chapter 6 A Framework for Selection of Machine Learning Algorithms Based on Performance Metrices and Akaike Information Criteria in Healthcare, Telecommunication, and Marketing Sector

A. K. Hamisu and K. Jasleen

Chapter 7 Hybrid Marine Predator Algorithm with Simulated Annealing for Feature Selection

Utkarsh Mahadeo Khaire, R. Dhanalakshmi, and K. Balakrishnan

Chapter 8 Survey of Deep Learning Methods in Image Recognition and Analysis of Intrauterine Residues

Bhawna Swarnkar, Nilay Khare, and Manasi Gyanchandani

Chapter 9 A Comprehensive Survey on Breast Cancer Thermography Classification Using Deep Neural Network

Amira Hassan Abed, Essam M Shaaban, Om Prakash Jena, and Ahmed A. Elngar

Chapter 10 Deep Learning Frameworks for Prediction, Classification and Diagnosis of Alzheimer's Disease

Nitin Singh Rajput, Mithun Singh Rajput, and Purnima Dey Sarkar

Chapter 11 Machine Learning Algorithms and COVID-19: A Step for Predicting Future Pandemics with a Systematic Overview

Madhumita Pal, Ruchi Tiwari, Kuldeep Dhama, Smita Parija, Om Prakash Jena, and Ranjan K. Mohapatra

Chapter 12 TRNetCoV: Transferred Learning-based ResNet Model for COVID-19 Detection Using Chest X-ray Images

G. V. Eswara Rao and B. Rajitha

Chapter 13 The Influence of COVID-19 on Air Pollution and Human Health

L. Bouhachlaf, J. Mabrouki, and S. El Hajjaji

Chapter 14 Smart COVID-19 GeoStrategies using Spatial Network Voronoi Diagrams

A. Mabrouk and A. Boulmakoul

Chapter 15 Healthcare Providers Recommender System Based on Collaborative Filtering Techniques

Abdelaaziz Hessane, Ahmed El Youssefi, Yousef Farhaoui, Badraddine Aghoutane, Noureddine Ait Ali, and Ayasha Malik