Fuzzy Rule and ML-Based Hybrid Framework for Diabetes Detection - Mandal, Anindya
45,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in 6-10 Tagen
payback
23 °P sammeln
  • Broschiertes Buch

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.

Andere Kunden interessierten sich auch für
Produktbeschreibung
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.
Autorenporträt
Anindya Mandal received his Master of Technology (M.Tech) degree in Computer Science and Engineering from Budge Budge Institute of Technology, affiliated with Maulana Abul Kalam Azad University of Technology, India. His research interests lie in artificial intelligence, machine learning, fuzzy logic.