Chaki, Jyotismita. Wozniak, Marcin. text xx S.l.] CRC PRESS 2025 monographic eng

electronic resource

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 Diabetes COMPUTERS / Neural Networks HEALTH & FITNESS / Diseases / Diabetes MEDICAL / Diagnosis RC660 9781040260654 1040260659 9781032708430 1032708433 9781040260630 1040260632 https://www.taylorfrancis.com/books/9781032708430 http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf https://www.taylorfrancis.com/books/9781032708430 http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf OCoLC-P 241203 20251030122306.0 9781032708430 eng