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Hybrydowy system wykrywania cukrzycy oparty na regułach rozmytych i uczeniu maszynowym

Hybrydowy system wykrywania cukrzycy oparty na regułach rozmytych i uczeniu maszynowym

Anindya Mandal

103,83 €
IVA incluido
Disponible
Editorial:
KS OmniScriptum Publishing
Año de edición:
2025
Materia
Empresa y gestión
ISBN:
9786209247972
103,83 €
IVA incluido
Disponible

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Sobre IBD

Niniejsza książka przedstawia hybrydowy system wspomagania decyzji, który integruje uczenie maszynowe, logikę rozmytą i logikę opartą na regułach, aby usprawnić wczesne wykrywanie cukrzycy. Wykorzystując parametry kliniczne, takie jak poziom glukozy, BMI, ciśnienie krwi, poziom insuliny i wiek, model łączy uczenie statystyczne z wiedzą ekspercką, aby dostarczać dokładne, zrozumiałe i wiarygodne prognozy. Książka, przeznaczona dla pracowników służby zdrowia, naukowców i studentów, pokazuje, w jaki sposób inteligentne systemy mogą wypełnić lukę między analityką opartą na danych a podejmowaniem decyzji klinicznych w rzeczywistych warunkach.

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