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Modelos baseados em dados para a análise da gravidade da COVID-19 em doentes comórbidos

Modelos baseados em dados para a análise da gravidade da COVID-19 em doentes comórbidos

Pushpa C N / Suresh Kumar H S

100,13 €
IVA incluido
Disponible
Editorial:
KS OmniScriptum Publishing
Año de edición:
2026
Materia
Enfermería
ISBN:
9786209684357
100,13 €
IVA incluido
Disponible

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Sobre IBD

Este livro apresenta uma estrutura abrangente orientada pela Inteligência Artificial para prever a gravidade da COVID-19 em pacientes com comorbidades, abordando desafios críticos no diagnóstico, prognóstico e gestão de recursos de saúde. Integra técnicas de aprendizagem automática e aprendizagem profunda para analisar dados clínicos, demográficos e de imagiologia médica em grande escala. Conjuntos de dados clínicos desequilibrados são tratados usando estratégias avançadas de pré-processamento e reamostragem, permitindo uma previsão robusta de mortalidade, sobrevivência e gravidade da doença.O livro serve como um guia abrangente para pesquisadores, cientistas de dados e profissionais de saúde interessados na previsão baseada em IA da gravidade do COVID-19 em pacientes com comorbidades. Destaca que os modelos clássicos de Machine Learning, incluindo Decision Tree, Random Forest e Gaussian Naïve Bayes, alcançam alta precisão, enquanto os modelos baseados em redes neurais demonstram forte generalização e robustez.

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