Intelligent Systems in Healthcare and Disease Identification using Data Science 1st Edition

Intelligent Systems in Healthcare and Disease Identification using Data Science (1st Edition) by L. Gururaj and H. is a timely, practical guide that bridges cutting-edge data science with real-world clinical challenges. Whether you’re a healthcare professional, data scientist, researcher, or policymaker, this book delivers clear, actionable insights into how intelligent systems improve disease identification, diagnostics, and patient outcomes across global healthcare settings.

Start with compelling overviews of machine learning, deep learning, and predictive analytics tailored for medical applications. The authors walk you through data preprocessing, model selection, evaluation metrics, and the ethical considerations crucial to handling electronic health records and medical imaging. Rich case studies and applied examples illuminate how algorithms detect patterns in large-scale clinical data and support clinical decision-making.

This volume emphasizes practical implementation: from building robust pipelines for disease screening to deploying clinical decision support systems that respect privacy and regulatory requirements. It also explores applications in public health, telemedicine, and resource-limited environments, making it especially relevant for readers in India and other regions seeking scalable, impact-driven solutions.

Packed with authoritative guidance and contemporary best practices, this 1st Edition is both an academic resource and a hands-on playbook. If you want to harness data science to advance diagnostics and compassionate, efficient care, add this essential title by L. Gururaj and H. to your professional library today.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.