02974cam a2200505M 4500 9781032708430 FlBoTFG 20251030122306.0 m o d cr |n||||||||| 241203s2025 xx o 0|| 0 eng d OCoLC-P eng OCoLC-P 9781040260654 (electronic bk.) 1040260659 (electronic bk.) 9781032708430 (electronic bk.) 1032708433 (electronic bk.) 9781040260630 (electronic bk. : PDF) 1040260632 (electronic bk. : PDF) 1032647000 9781032647005 10.1201/9781032708430 doi (OCoLC)1474642170 (OCoLC-P)1474642170 RC660 COM 044000 bisacsh HEA 039050 bisacsh MED 018000 bisacsh UYQ bicssc DEEP LEARNING IN DIABETES MELLITUS DETECTION AND DIAGNOSIS [electronic resource]. [S.l.] : CRC PRESS, 2025. 1 online resource Deep Learning in Diabetes Mellitus Detection and Diagnosis focuses on deep learning-based approaches in the field of diabetes mellitus detection and diagnosis, including preprocessing techniquesthat are an essential part of this subject. This is the first book of its kind to cover deep learning-based approaches in the specific field of diabetes mellitus. This book includes a detailed introductory overview as well as chapters on current applications, preprocessing of data using deep learning, deep learning techniques, complexity, challenges, and future directions. It will be of great interest to researchers and professionals working on diabetes mellitus as well as general medical applications of machine learning.Features: Highlights how the use of deep neural networks-based applications can address new questions and protocols, as well as improve upon existing challenges in diabetes mellitus detection and diagnosis Assists scholars and students who might like to learn about this area as well as others who may have begun without a formal presentation, with no complex mathematical equations Involves exceptional subjectcoverage and includes the principles needed to understand deep learning OCLC-licensed vendor bibliographic record. Diabetes. 91303 COMPUTERS / Neural Networks bisacsh 64989 HEALTH & FITNESS / Diseases / Diabetes bisacsh 96096 MEDICAL / Diagnosis bisacsh 96097 Chaki, Jyotismita. 96098 Wozniak, Marcin. 96099 Taylor & Francis https://www.taylorfrancis.com/books/9781032708430 OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf E-Books 68266 68266