Computational Intelligence for Machine Learning and Healthcare Informatics

Book

Computational Intelligence for Machine Learning and Healthcare Informatics

Edited by: Rajshree Srivastava , Pradeep Kumar Mallick , Siddharth Swarup Rautaray and Manjusha Pandey

Language: English

Published/Copyright: 2020

Published by

Become an author with De Gruyter Brill

Explore this Subject How to publish with us

This book is in the series

Volume 1 | Intelligent Biomedical Data Analysis

About this book

This book presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. It is intended to provide a unique compendium of current and emerging machine learning paradigms for healthcare informatics, reflecting the diversity, complexity, and depth and breadth of this multi-disciplinary area.

Author / Editor information

Rajshree Srivastava, Pradeep Kumar Mallick, Siddhartha Swarup Rautaray, Manjusha Pandey, India.

Topics

Publicly Available

Frontmatter
I

Download PDF
Publicly Available

Preface
VII

Download PDF
Publicly Available

Contents
XI

Download PDF
Publicly Available

List of contributors
XIII

Download PDF
Requires Authentication Unlicensed

Licensed

1. A review of bone tissue engineering for the application of artificial intelligence in cellular adhesion prediction
1
María de Lourdes Sánchez, Adrián Will, Andrea Rodríguez and Gónzalez-Salcedo Luis O.
Requires Authentication Unlicensed

Licensed

2. Implementation and classification of machine learning algorithms in healthcare informatics: approaches, challenges, and future scope
21
Divya Gaba and Nitin Mittal
Requires Authentication Unlicensed

Licensed

3. Cardiac arrhythmia recognition using Stockwell transform and ABC-optimized twin SVM
35
Sandeep Raj and Arvind Choubey
Requires Authentication Unlicensed

Licensed

4. Computational intelligence approach to address the language barrier in healthcare
53
Shweta Sinha and Shweta Bansal
Requires Authentication Unlicensed

Licensed

5. Recent advancement of machine learning and deep learning in the field of healthcare system
77
Yogesh Kumar and Manish Mahajan
Requires Authentication Unlicensed

Licensed

6. Predicting psychological disorders using machine learning
99
Prabhsimar Kaur, Vishal Bharti and Srabanti Maji
Requires Authentication Unlicensed

Licensed

7. Automatic analysis of cardiovascular diseases using EMD and support vector machines
131
Sweta Kumari and Sneha Kumari
Requires Authentication Unlicensed

Licensed

8. Machine learning approach for exploring computational intelligence
153
J. Naveenkumar and Dhanashri P. Joshi
Requires Authentication Unlicensed

Licensed

9. Classification of various image fusion algorithms and their performance evaluation metrics
179
Simrandeep Singh, Nitin Mittal and Harbinder Singh
Requires Authentication Unlicensed

Licensed

10. Recommender system in healthcare: an overview
199
Dhrubasish Sarkar, Medha Gupta, Premananda Jana and Dipak K. Kole
Requires Authentication Unlicensed

Licensed

11. Dense CNN approach for medical diagnosis
217
Purva Ekatpure and Shivam
Requires Authentication Unlicensed

Licensed

12. Impact of sentiment analysis tools to improve patients’ life in critical diseases
239
Dhaval Bhoi and Amit Thakkar
Requires Authentication Unlicensed

Licensed

13. A fuzzy entropy-based multilevel image thresholding using neural network optimization algorithm
253
Diksha Thakur, Nitin Mittal, Simrandeep Singh and Rajshree Srivastva
Requires Authentication Unlicensed

Licensed

14. Machine learning in healthcare
277
Daiyaan Ahmed Shaik, Vihal Mohanty and Ramani Selvanambi
Requires Authentication Unlicensed

Licensed

15. Computational health informatics using evolutionary-based feature selection
309
Vanaja Ramaswamy and Saswati Mukherjee
Requires Authentication Unlicensed

Licensed

Index
329

Publishing information

Pages and Images/Illustrations in book

eBook published on:

June 22, 2020

eBook ISBN:

9783110648195

Hardcover published on:

June 22, 2020

Hardcover ISBN:

9783110647822

Pages and Images/Illustrations in book

Front matter:

15

Main content:

331

Illustrations:

101

Tables:

36

https://doi.org/10.1515/9783110648195

eBook ISBN: 9783110648195

Hardcover ISBN: 9783110647822

Keywords for this book

Algorithmus; Big Data; Künstliche Intelligenz; Maschinelles Lernen; Digitalmedizin

Safety & product resources

Manufacturer information:
Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com

Computational Intelligence for Machine Learning and Healthcare Informatics

Overview

About this book

Author / Editor information

Topics

Table of contents

Frontmatter

Preface

Contents

List of contributors

1. A review of bone tissue engineering for the application of artificial intelligence in cellular adhesion prediction

2. Implementation and classification of machine learning algorithms in healthcare informatics: approaches, challenges, and future scope

3. Cardiac arrhythmia recognition using Stockwell transform and ABC-optimized twin SVM

4. Computational intelligence approach to address the language barrier in healthcare

5. Recent advancement of machine learning and deep learning in the field of healthcare system

6. Predicting psychological disorders using machine learning

7. Automatic analysis of cardiovascular diseases using EMD and support vector machines

8. Machine learning approach for exploring computational intelligence

9. Classification of various image fusion algorithms and their performance evaluation metrics

10. Recommender system in healthcare: an overview

11. Dense CNN approach for medical diagnosis

12. Impact of sentiment analysis tools to improve patients’ life in critical diseases

13. A fuzzy entropy-based multilevel image thresholding using neural network optimization algorithm

14. Machine learning in healthcare

15. Computational health informatics using evolutionary-based feature selection

Index

Bibliographic data