Helicobacter pylori (H. pylori) risk factor analysis and prevalence prediction: a machine learning-based approach.

Tran, Van; Saad, Tazmilur; Tesfaye, Mehret; Walelign, Sosina; Wordofa, Moges; Abera, Dessie; Desta, Kassu; Tsegaye, Aster; Ay, Ahmet; Taye, Bineyam

Helicobacter pylori (H. pylori) risk factor analysis and prevalence prediction: a machine learning-based approach.

Tran, Van; Saad, Tazmilur; Tesfaye, Mehret; Walelign, Sosina; Wordofa, Moges; Abera, Dessie; Desta, Kassu; Tsegaye, Aster; Ay, Ahmet; Taye, Bineyam.

Afiliación

Tran V; Department of Mathematics, Colgate University, 13 Oak Dr., Hamilton, NY, USA.
Saad T; Department of Mathematics, Colgate University, 13 Oak Dr., Hamilton, NY, USA.
Tesfaye M; College of Health Sciences, Department of Medical Laboratory Science, Addis Ababa University, Addis Ababa, Ethiopia.
Walelign S; College of Health Sciences, Department of Medical Laboratory Science, Addis Ababa University, Addis Ababa, Ethiopia.
Wordofa M; College of Health Sciences, Department of Medical Laboratory Science, Addis Ababa University, Addis Ababa, Ethiopia.
Abera D; College of Health Sciences, Department of Medical Laboratory Science, Addis Ababa University, Addis Ababa, Ethiopia.
Desta K; College of Health Sciences, Department of Medical Laboratory Science, Addis Ababa University, Addis Ababa, Ethiopia.
Tsegaye A; College of Health Sciences, Department of Medical Laboratory Science, Addis Ababa University, Addis Ababa, Ethiopia.
Ay A; Department of Mathematics, Colgate University, 13 Oak Dr., Hamilton, NY, USA. aay@colgate.edu.
Taye B; Department of Biology, Colgate University, 13 Oak Dr., Hamilton, NY, USA. aay@colgate.edu.

BMC Infect Dis ; 22(1): 655, 2022 Jul 28.

Article en En | MEDLINE | ID: mdl-35902812

Asunto(s)

Infecciones por Helicobacter; Helicobacter pylori; Algoritmos; Niño; Estudios Transversales; Análisis Factorial; Infecciones por Helicobacter/epidemiología; Humanos; Aprendizaje Automático; Prevalencia; Factores de Riesgo

Palabras clave

Classification; Ethiopia; Feature selection; H. pylori infection; Logistic regression; Machine learning; School children

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Helicobacter pylori / Infecciones por Helicobacter Tipo de estudio: Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Child / Humans Idioma: En Revista: BMC Infect Dis Asunto de la revista: DOENCAS TRANSMISSIVEIS Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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