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OverviewThis book introduces a hybrid decision-support system that integrates machine learning, fuzzy inference, and rule-based logic to improve the early detection of diabetes. Using clinical parameters such as glucose, BMI, blood pressure, insulin, and age, the model combines statistical learning with expert knowledge to deliver accurate, interpretable, and reliable predictions. Designed for healthcare professionals, researchers, and students, it demonstrates how intelligent systems can bridge the gap between data-driven analytics and real-world clinical decision-making. Full Product DetailsAuthor: Anindya MandalPublisher: LAP Lambert Academic Publishing Imprint: LAP Lambert Academic Publishing Dimensions: Width: 15.20cm , Height: 0.90cm , Length: 22.90cm Weight: 0.213kg ISBN: 9786208439002ISBN 10: 6208439000 Pages: 152 Publication Date: 29 September 2025 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Available To Order We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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