Machine Learning and Deep Learning in Efficacy Improvement of Healthcare Systems

ISBN-13: 9781032036724 / Angielski / Twarda / 2022 / 379 str.

Om Prakash Jena; Bharat Bhushan; Nitin Rakesh

Opis

This book describes the fundamental concepts of machine learning and deep learning techniques in a healthcare system. The aim of this book is to describe how deep learning methods are used to insure high quality data processing, medical image and signal analysis, and improved healthcare application.

Spis treści

1. Machine Learning in Healthcare: An Introduction 2. A Machine Learning Approach to Identify Personality Traits from Social Media 3. Influence of Content Strategies on Community Engagement over the Healthcare-Related Social Media Pages in India 4. The Impact of Social Media in Fighting Emerging Diseases: A Model-Based Study 5. Prediction of Diabetes Mellitus Using Machine Learning 6. Spectrogram Image Textural Descriptors for Lung Sound Classification 7. Medical Image Analysis Using Machine Learning Techniques: A Systematic Review 8. Impact of Ensemble-Based Models on Cancer Classification, Its Development, and Challenges 9. Performance Comparison of Different Machine Learning Techniques towards Prevalence of Cardiovascular Diseases (CVDs) 10. Deep Neural Networks in Healthcare Systems 11. Deep Learning and Multimodal Artificial Neural Network Architectures for Disease Diagnosis and Clinical Applications 12. A Temporal JSON Model to Represent Big Data in IoT-Based e-Health Systems 13. Use of UAVs in the Prevention, Control and Management of Pandemics 14. Implicit Ontology Changes Driven by Evolution of e-Health IoT Sensor Data in the τOWL Semantic Framework 15. Classification of Text Data in Healthcare Systems – A Comparative Study 16. Predicting Air Quality Index with Machine Learning Models