000			02020nam a2200289 i 4500
003			ISI Library, Kolkata
005			20260401140819.0
008			210301s2021 flua b 001 0 eng
020			_a9781032039855
040			_aISI Library _beng _erda _cDLC
041	0		_aeng
082	0	4	_223 _a610.285 _bM149
100	1		_aEl-Baz, Ayman, _eeditor.
245	1	0	_aMachine learning in medicine / _cedited by Ayman El-Baz, Jasjit S. Suri.
250			_aFirst edition.
260			_aBoca Raton : _bCRC Press, _c2021
300			_axxi, approximately 300 pages : _billustrations ; _c24 cm.
490	1		_aChapman & Hall/CRC healthcare informatics series
504			_aIncludes bibliographical references and index.
520			_aMachine 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.
650		0	_aMedicine _xData processing.
650		0	_aMachine learning.
650		0	_aMedical informatics.
650		0	_aArtificial intelligence in medicine.
700	1		_aSuri, Jasjit S., _eeditor.
942			_2ddc _cBK
999			_c437774 _d437774