Evaluation of factors that influenced the length of hospital stay using data mining techniques.

Eskandari, Mehrnoosh; Alizadeh Bahmani, Amir Hossein; Mardani-Fard, Heydar Ali; Karimzadeh, Iman; Omidifar, Navid; Peymani, Payam

Eskandari, Mehrnoosh; Alizadeh Bahmani, Amir Hossein; Mardani-Fard, Heydar Ali; Karimzadeh, Iman; Omidifar, Navid; Peymani, Payam.

Afiliación

Eskandari M; Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
Alizadeh Bahmani AH; Department of Pulmonary Medicine, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, the Netherlands.
Mardani-Fard HA; Department of Mathematics, Yasouj University, Yasouj, Iran.
Karimzadeh I; Clinical Pharmacy Department, Faculty of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran.
Omidifar N; Department of Pathology, medical school, Shiraz University of Medical Sciences, Shiraz, Iran. omidifar@gmail.com.
Peymani P; College of Pharmacy, Rady Faculty of Health Sciences, University of Manitoba, Apotex Centre, 750 McDermot Avenue, Winnipeg, MB, R3E 0T5, Canada. Payam.Peymani@umanitoba.ca.

BMC Med Inform Decis Mak ; 22(1): 280, 2022 10 29.

Article en En | MEDLINE | ID: mdl-36309751

Asunto(s)

Hospitalización; Alta del Paciente; Masculino; Humanos; Femenino; Embarazo; Adulto Joven; Adulto; Persona de Mediana Edad; Tiempo de Internación; Estudios Retrospectivos; Minería de Datos

Palabras clave

Data mining; Hospitalization; Length of stay; Tree plot

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Alta del Paciente / Hospitalización Tipo de estudio: Observational_studies / Prognostic_studies Límite: Adult / Female / Humans / Male / Middle aged / Pregnancy Idioma: En Revista: BMC Med Inform Decis Mak Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Irán

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