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Fuzzy Rule and ML-Based Hybrid Framework for Diabetes Detection

Fuzzy Rule and ML-Based Hybrid Framework for Diabetes Detection

0 - Default Title
Description
This 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.
Product details
Binding:
Paperback
Number of Pages:
152
Release Date:
2025-09-29
Publication Date:
2025-09-29
Publisher:
LAP LAMBERT Academic Publishing
Languages:
Original: English
ISBN10:
6208439000
ISBN13:
9786208439002
GPSR Manufacturer Reference:
Weight:
244 g
Height:
150 cm
Width:
220 cm
Thickness:
10 cm
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