AI and Data Engineering for Healthcare

<p>This book examines the transformative role of artificial intelligence (AI) and data engineering in revolutionizing the healthcare landscape. It presents cutting-edge developments ranging from predictive algorithms for disease diagnosis to large-scale data systems that enhance patient outcomes. By emphasizing the synergy between AI and data engineering, the book showcases practical applications in medical imaging, clinical diagnostics, and personalized treatment strategies.</p><p>It also thoughtfully examines ethical considerations, data privacy, and healthcare equity, particularly in underserved and rural populations.</p><p>Key Features:</p><ul> <li>Explores state-of-the-art technologies in healthcare, including image segmentation, feature extraction, feature selection, and classification</li> <li>Provides real-world case studies, practical examples, and hands-on exercises for effective implementation of AI-driven solutions</li> <li>Bridges disciplines across computer science, data engineering, and biomedical sciences to foster cross-domain collaboration</li> <li>Highlights innovative research methodologies and their applications in AI-powered healthcare systems</li> <li>Discusses the role of AI in improving healthcare access, delivery, and outcomes across diverse populations</li> </ul><p>This book is ideal for professionals, researchers, and policymakers seeking to understand and shape the future of healthcare through the lens of AI and data-driven innovation.</p>