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Hybrides Framework zur Diabeteserkennung basierend auf Fuzzy-Regeln und maschinellem Lernen

Hybrides Framework zur Diabeteserkennung basierend auf Fuzzy-Regeln und maschinellem Lernen

Anindya Mandal

103,80 €
IVA incluido
Disponible
Editorial:
KS OmniScriptum Publishing
Año de edición:
2025
Materia
Empresa y gestión
ISBN:
9786209237720
103,80 €
IVA incluido
Disponible

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Sobre IBD

Dieses Buch stellt ein hybrides Entscheidungsunterstützungssystem vor, das maschinelles Lernen, Fuzzy-Logik und regelbasierte Logik integriert, um die Früherkennung von Diabetes zu verbessern. Anhand klinischer Parameter wie Glukose, BMI, Blutdruck, Insulin und Alter kombiniert das Modell statistisches Lernen mit Expertenwissen, um genaue, interpretierbare und zuverlässige Vorhersagen zu liefern. Das Buch richtet sich an medizinisches Fachpersonal, Forscher und Studierende und zeigt, wie intelligente Systeme die Lücke zwischen datengesteuerter Analyse und klinischer Entscheidungsfindung in der Praxis schließen können.

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