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Cadre hybride basé sur les règles floues et l’apprentissage automatique pour la détection du diabète

Cadre hybride basé sur les règles floues et l’apprentissage automatique pour la détection du diabète

Anindya Mandal

103,82 €
IVA incluido
Disponible
Editorial:
KS OmniScriptum Publishing
Año de edición:
2025
Materia
Empresa y gestión
ISBN:
9786209227493
103,82 €
IVA incluido
Disponible

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Sobre IBD

Ce livre présente un système hybride d’aide à la décision qui intègre l’apprentissage automatique, l’inférence floue et la logique basée sur des règles afin d’améliorer le dépistage précoce du diabète. En utilisant des paramètres cliniques tels que la glycémie, l’IMC, la tension artérielle, l’insuline et l’âge, le modèle combine l’apprentissage statistique et les connaissances d’experts pour fournir des prédictions précises, interprétables et fiables. Conçu pour les professionnels de santé, les chercheurs et les étudiants, il démontre comment les systèmes intelligents peuvent combler le fossé entre l’analyse de données et la prise de décision clinique concrète.

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