Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees.

Feng, Jean; Gossmann, Alexej; Sahiner, Berkman; Pirracchio, Romain

Feng, Jean; Gossmann, Alexej; Sahiner, Berkman; Pirracchio, Romain.

Afiliación

Feng J; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA.
Gossmann A; CDRH-Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, Maryland, USA.
Sahiner B; CDRH-Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, Maryland, USA.
Pirracchio R; Department of Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, California, USA.

J Am Med Inform Assoc ; 29(5): 841-852, 2022 04 13.

Article en En | MEDLINE | ID: mdl-35022756

Asunto(s)

Modelos Estadísticos; Enfermedad Pulmonar Obstructiva Crónica; Teorema de Bayes; Humanos; Modelos Logísticos; Pronóstico

Palabras clave

Bayesian model updating; clinical prediction models; machine learning; model recalibration

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Modelos Estadísticos / Enfermedad Pulmonar Obstructiva Crónica Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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