Deep Learning for Personalized Healthcare Services

Published by De Gruyter 2021

Deep Learning for Personalized Healthcare Services

Edited by: Vishal Jain , Jyotir Moy Chatterjee , Hadi Hedayati , Salahddine Krit and Omer Deperlioglu

Volume 7 in the series Intelligent Biomedical Data Analysis

https://doi.org/10.1515/9783110708127

Overview
Contents

About this book

This book uncovers the stakes and possibilities involved in realising personalised healthcare services through efficient and effective deep learning algorithms, enabling the healthcare industry to develop meaningful and cost-effective services. This requires effective understanding, application and amalgamation of deep learning with several other computing technologies, such as machine learning, data mining, and natural language processing.

Author information

V. Jain, Bvicam New Delhi; J. M. Chatterjee, LBEF; H. Hedayati, Kabul Univ., S. Krit, Zohr Univ.; O. Deperlioglu, Kocatepe Univ.

Topics

Frontmatter Publicly Available Download PDF	I
Preface Publicly Available Download PDF	VII
Acknowledgments Publicly Available Download PDF	IX
Contents Publicly Available Download PDF	XI
Short Biography of Editors Publicly Available Download PDF	XIII
List of Contributors Publicly Available Download PDF	XV
Deep learning for health and medicine Rehab A. Rayan, Imran Zafar and Christos Tsagkaris Requires Authentication Unlicensed Licensed Download PDF	1
Exploring Indian Yajna and mantra sciences for personalized health: pandemic threats and possible cures in twenty-first-century healthcare Rohit Rastogi, Mamta Saxena, Sheelu Sagar, Neeti Tandon, T. Rajeshwari and Priyanshi Garg Requires Authentication Unlicensed Licensed Download PDF	17
Advanced deep learning techniques and applications in healthcare services Bhanu Chander Requires Authentication Unlicensed Licensed Download PDF	37
Visualizations of human bioelectricity with internal symptom captures: the Indo-Vedic concepts on Healthcare 4.0 Rohit Rastogi, Mamta Saxena, Devendra Kr. Chaturvedi, Mayank Gupta, Akshit Rajan Rastogi, Vrinda Kohli, Pradeep Kumar and Mohit Jain Requires Authentication Unlicensed Licensed Download PDF	67
Early cancer predictions using ensembles of machine learning and deep learning Wasiur Rhmann and Babita Pandey Requires Authentication Unlicensed Licensed Download PDF	91
Deep learning in patient management and clinical decision making D. A. Janeera, G. Jims John Wesley, P. Rajalakshmy, S. Shalini Packiam Kamala, P. Subha Hency Jose and T. M. Yunushkhan Requires Authentication Unlicensed Licensed Download PDF	115
Patient health record system Neha Mehta and Svav Prasad Requires Authentication Unlicensed Licensed Download PDF	141
Prediction of multiclass cervical cancer using deep machine learning algorithms in healthcare services S. Jaya and M. Latha Requires Authentication Unlicensed Licensed Download PDF	161
Comparative analysis for detecting skin cancer using SGD-based optimizer on a CNN versus DCNN architecture and ResNet-50 versus AlexNet on Adam optimizer Sidharth Purohit, Shubhra Suman, Avinash Kumar, Sobhangi Sarkar, Chittaranjan Pradhan and Jyotir Moy Chatterjee Requires Authentication Unlicensed Licensed Download PDF	185
Coronary heart disease analysis using two deep learning algorithms, CNN and RNN, and their sensitivity analyses Mildred J. Nwonye, V. Lakshmi Narasimhan and Zablon A. Mbero Requires Authentication Unlicensed Licensed Download PDF	205
An overview of the technological performance of deep learning in modern medicine Ana Carolina Borges Monteiro, Reinaldo Padilha França, Rangel Arthur and Yuzo Iano Requires Authentication Unlicensed Licensed Download PDF	225
Index Requires Authentication Unlicensed Licensed Download PDF	245

(Deutsch)

Language: English
Publisher: De Gruyter
Audience: Scholars, researchers, Postgraduate students, Professionals, Developers, Managers
Pages
- Front matter: 18
- Main content: 250
Illustrations
- Illustrations: 23
- Coloured Illustrations: 59
Keywords: Algorithmus; Deep Learning; Digital Health; Maschinelles Lernen

eBook

Published: October 25, 2021
ISBN: 9783110708127

Hardcover

Published: October 25, 2021
ISBN: 9783110708004