- English
- ePUB (mobile friendly)
- Available on iOS & Android
About this book
The rapid technological advancements in the healthcare industry over recent decades have been transformative. These innovations have not only enhanced our understanding of the morphology and physiology of various organs but have also significantly improved the early diagnosis and treatment of numerous diseases across different medical specialties. This progress has been largely driven by advancements in artificial intelligence (AI) and computer vision (CV). AI and CV enable the real-time collection, processing, interpretation, and analysis of vast amounts of static and dynamic medical data, revolutionizing disease characterization and patient selection. Early detection is crucial in treating life-threatening illnesses such as COVID-19, pneumonia, and cancer. Computer-based medical imaging techniques, including CT scans and X-rays, play a vital role in diagnosing these conditions. Similarly, biological signals like electroencephalography (EEG) and electrocardiography (ECG) help anticipate brain anomalies and heart diseases. Machine learning further enhances the accuracy of disease prediction, assisting clinicians in making precise diagnoses. By facilitating faster disease recognition, these technologies also enable wider access to healthcare, including remote and underserved areas. This book aims to develop machine learning algorithms that analyze diverse medical data and predict diseases based on their characteristics, ultimately advancing healthcare diagnostics and treatment strategies.
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Information
Table of contents
- Cover Page
- Title Page
- Copyright Page
- Preface
- Contents
- Justification for Flow
- List of Contributors
- 1 Emerging Technologies in Healthcare: The Role of Machine Learning
- 2 Advances in AI and Data Science for Healthcare
- 3 Multimodal Computing in Healthcare: Enhancing Clinical Decision-Making through Data Fusion
- 4 A Comprehensive Analysis and Prediction of Diabetes Diseases Using Deep Learning Techniques
- 5 Type-2 Fuzzy Classification in Disease Staging: Bipolar Disorder and Chronic Kidney Disease in India's Healthcare Odyssey
- 6 Deformity Detection using Radiographic Image Analysis and Machine Learning
- 7 Medicine-Infused Smart Bandages with Integrated Sensors and Image-based Machine Learning Model for Diabetic Foot Ulcer Detection
- 8 Multiply U Net with Sharp Block for Nuclear Segmentation of Microscopic Pathological Imageries
- 9 Information Management using Natural Language Processing: A COVID-19 Case Study
- 10 Innovation for Inclusion: Emerging Technologies for People with Disabilities
- Index