A Bayesian latent class extension of naive Bayesian classifier and its application to the classification of gastric cancer patients

BACKGROUND: The Naive Bayes (NB) classifier is a powerful supervised algorithm widely used in Machine Learning (ML). However, its effectiveness relies on a strict assumption of conditional independence, which is often violated in real-world scenarios. To address this limitation, various studies have...

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Detalles Bibliográficos
Autores principales: Gohari, Kimiya, Kazemnejad, Anoshirvan, Mohammadi, Marjan, Eskandari, Farzad, Saberi, Samaneh, Esmaieli, Maryam, Sheidaei, Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10440900/
https://www.ncbi.nlm.nih.gov/pubmed/37605107
http://dx.doi.org/10.1186/s12874-023-02013-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10440900/
https://www.ncbi.nlm.nih.gov/pubmed/37605107
http://dx.doi.org/10.1186/s12874-023-02013-4

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