https://semichaschaver.com/2025/04/03/cz2x5qolp This book introduces and explores a variety of schemes designed to empower, enhance, and represent multi-institutional and multi-disciplinary ML/DL research in healthcare paradigms. Serving as a unique compendium of existing and emerging ML/DL paradigms for healthcare sector, it depth, breadth, complexity, and diversity of this multi-disciplinary area. This book provides a comprehensive overview of Machine […]

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Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications

Length: 320 pages
Edition: 1
Language: English
Publisher: CRC Press
Publication Date: 2022-01-28
ISBN-10: 1032126876
ISBN-13: 9781032126876
Sales Rank: #0 (See Top 100 Books)

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go to link This book introduces and explores a variety of schemes designed to empower, enhance, and represent multi-institutional and multi-disciplinary ML/DL research in healthcare paradigms. Serving as a unique compendium of existing and emerging ML/DL paradigms for healthcare sector, it depth, breadth, complexity, and diversity of this multi-disciplinary area. This book provides a comprehensive overview of Machine Learning (ML) and Deep Learning (DL) algorithms and explores the related use cases in enterprises such as computer aided medical diagnostics, drug discovery and development, medical imaging, automation, robotic surgery, electronic smart records creation, outbreak prediction, medical image analysis, and radiation treatments. The book aims to endow different communities with their innovative advances in theory, analytical results, case studies, numerical simulation, modelling, and computational structuring in the field of ML/DL models for healthcare applications. This book will reveal different dimensions of ML/DL applications and will illustrate its use in the solution of assorted real world biomedical and healthcare problems. This book is a valuable source for information for researchers, scientists, healthcare professional, programmers and graduate-level students interested in understanding the applications of ML/DL in healthcare scenarios.

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Tramadol For Sale Online Uk Cover Half Title Series Page Title Page Copyright Page Contents Preface Editors Contributors Chapter 1: Common Data Interface for Sustainable Healthcare System Chapter 2: Brain–Computer Interface: Review, Applications and Challenges Chapter 3: Three-Dimensional Reconstruction and Digital Printing of Medical Objects in Purview of Clinical Applications Chapter 4: Medical Text and Image Processing: Applications, Methods, Issues, and Challenges Chapter 5: Usage of ML Techniques for ASD Detection: A Comparative Analysis of Various Classifiers Chapter 6: A Framework for Selection of Machine Learning Algorithms Based on Performance Metrices and Akaike Information Criteria in Healthcare, Telecommunication, and Marketing Sector Chapter 7: Hybrid Marine Predator Algorithm with Simulated Annealing for Feature Selection Chapter 8: Survey of Deep Learning Methods in Image Recognition and Analysis of Intrauterine Residues Chapter 9: A Comprehensive Survey on Breast Cancer Thermography Classification Using Deep Neural Network Chapter 10: Deep Learning Frameworks for Prediction, Classification and Diagnosis of Alzheimer’s Disease Chapter 11: Machine Learning Algorithms and COVID-19: A Step for Predicting Future Pandemics with a Systematic Overview Chapter 12: TRNetCoV: Transferred Learning-based ResNet Model for COVID-19 Detection Using Chest X-ray Images Chapter 13: The Influence of COVID-19 on Air Pollution and Human Health Chapter 14: Smart COVID-19 GeoStrategies using Spatial Network Voronoï Diagrams Chapter 15: Healthcare Providers Recommender System Based on Collaborative Filtering Techniques Index