A comparative analysis of machine learning approaches to predict C. difficile infection in hospitalized patients.

Panchavati, Saarang; Zelin, Nicole S; Garikipati, Anurag; Pellegrini, Emily; Iqbal, Zohora; Barnes, Gina; Hoffman, Jana; Calvert, Jacob; Mao, Qingqing; Das, Ritankar

Panchavati, Saarang; Zelin, Nicole S; Garikipati, Anurag; Pellegrini, Emily; Iqbal, Zohora; Barnes, Gina; Hoffman, Jana; Calvert, Jacob; Mao, Qingqing; Das, Ritankar.

Afiliación

Panchavati S; Dascena, Inc., Houston, TX.
Zelin NS; Dascena, Inc., Houston, TX.
Garikipati A; Dascena, Inc., Houston, TX.
Pellegrini E; Dascena, Inc., Houston, TX.
Iqbal Z; Dascena, Inc., Houston, TX. Electronic address: ziqbal@dascena.com.
Barnes G; Dascena, Inc., Houston, TX.
Hoffman J; Dascena, Inc., Houston, TX.
Calvert J; Dascena, Inc., Houston, TX.
Mao Q; Dascena, Inc., Houston, TX.
Das R; Dascena, Inc., Houston, TX.

Am J Infect Control ; 50(3): 250-257, 2022 03.

Article en En | MEDLINE | ID: mdl-35067382

Asunto(s)

Clostridioides difficile; Infecciones por Clostridium; Infecciones por Clostridium/diagnóstico; Infecciones por Clostridium/epidemiología; Humanos; Aprendizaje Automático; Curva ROC; Estudios Retrospectivos

Palabras clave

Algorithm; CDI; Clostridioides difficile; Electronic health record; Machine learning; Prediction; XGBoost

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Clostridioides difficile / Infecciones por Clostridium Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Am J Infect Control Año: 2022 Tipo del documento: Article

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