TY  - BOOK
AU  - El-Baz,Ayman
AU  - Suri,Jasjit S.
TI  - Machine learning in medicine
T2  - Chapman & Hall/CRC healthcare informatics series
SN  - 9781032039855
U1  - 610.285 23
PY  - 2021///
CY  - Boca Raton
PB  - CRC Press
KW  - Medicine
KW  - Data processing
KW  - Machine learning
KW  - Medical informatics
KW  - Artificial intelligence in medicine
N1  - Includes bibliographical references and index
N2  - Machine Learning in Medicine explores the integration of advanced machine learning techniques into modern healthcare systems. The book focuses on how computational models—especially deep learning and neural networks—are applied to medical data for diagnosis, prediction, and clinical decision support. It highlights the role of computer-aided diagnosis (CAD) systems in detecting diseases such as cancer and neurological disorders, demonstrating how these tools improve accuracy and efficiency in clinical practice. The text also examines applications in areas like medical imaging, ultrasound diagnostics, dermatology, and cognitive decline detection, emphasizing real-world biomedical datasets and challenges. Additionally, the work addresses practical limitations of current machine learning models in healthcare, including data constraints and reliability issues, while proposing emerging solutions. Overall, the book presents both current trends and future directions in AI-driven medicine, aiming to support research and innovation in medical informatics
ER  -