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Framework ibrido basato su regole fuzzy e apprendimento automatico per l’individuazione del diabete

Framework ibrido basato su regole fuzzy e apprendimento automatico per l’individuazione del diabete

Anindya Mandal

103,84 €
IVA incluido
Disponible
Editorial:
KS OmniScriptum Publishing
Año de edición:
2025
Materia
Empresa y gestión
ISBN:
9786209245411
103,84 €
IVA incluido
Disponible

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Sobre IBD

Questo libro presenta un sistema ibrido di supporto alle decisioni che integra l’apprendimento automatico, la logica fuzzy e la logica basata su regole per migliorare la diagnosi precoce del diabete. Utilizzando parametri clinici come glucosio, BMI, pressione sanguigna, insulina ed età, il modello combina l’apprendimento statistico con le conoscenze degli esperti per fornire previsioni accurate, interpretabili e affidabili. Pensato per professionisti sanitari, ricercatori e studenti, il libro dimostra come i sistemi intelligenti possano colmare il divario tra l’analisi dei dati e il processo decisionale clinico nel mondo reale.

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