Comparing LASSO and random forest models for predicting neurological dysfunction among fluoroquinolone users.

Ellis, Darcy E; Hubbard, Rebecca A; Willis, Allison W; Zuppa, Athena F; Zaoutis, Theoklis E; Hennessy, Sean

Ellis, Darcy E; Hubbard, Rebecca A; Willis, Allison W; Zuppa, Athena F; Zaoutis, Theoklis E; Hennessy, Sean.

Afiliação

Ellis DE; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Hubbard RA; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Willis AW; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Zuppa AF; Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Zaoutis TE; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Hennessy S; Department of Anesthesiology and Critical Care, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.

Pharmacoepidemiol Drug Saf ; 31(4): 393-403, 2022 04.

Article em En | MEDLINE | ID: mdl-34881470

Assuntos

Fluoroquinolonas; Aprendizado de Máquina; Adulto; Estudos de Coortes; Comorbidade; Fluoroquinolonas/efeitos adversos; Humanos

Palavras-chave

fluoroquinolones; logistic models; neurologic manifestations; pharmacoepidemiology; regression analysis; supervised machine learning

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fluoroquinolonas / Aprendizado de Máquina Tipo de estudo: Clinical_trials / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Revista: Pharmacoepidemiol Drug Saf Assunto da revista: EPIDEMIOLOGIA / TERAPIA POR MEDICAMENTOS Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

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