Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications (eBook, PDF)

Redaktion: Jena, Om Prakash; Kose, Utku; Bhushan, Bharat

• Format: PDF

Produktbeschreibung

The book incorporates the many facets of computational intelligence, such as machine learning and deep learning, to provide groundbreaking developments in healthcare applications. It discusses theory, analytical methods, numerical simulation, scientific techniques, analytical outcomes, and computational structuring.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 292
• Erscheinungstermin: 25. Februar 2022
• Englisch
• ISBN-13: 9781000533934
• Artikelnr.: 63502536

Autorenporträt

Om Prakash Jena is an Assistant Professor in the Department of Computer Science, Ravenshaw University, Cuttack, Odisha, India. Dr. Bharat Bhushan is an Assistant Professor of Department of Computer Science and Engineering (CSE) at School of Engineering and Technology, Sharda University, Greater Noida, India. Dr. Utku Kose is an Associate Professor in Suleyman Demirel University, Turkey.

Inhaltsangabe

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 Voronoï
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