Predicting missed health care visits during the COVID-19 pandemic using machine learning methods: evidence from 55,500 individuals from 28 European countries.

Reuter, Anna; Smolic, Sime; Bärnighausen, Till; Sudharsanan, Nikkil

Reuter, Anna; Smolic, Sime; Bärnighausen, Till; Sudharsanan, Nikkil.

Afiliação

Reuter A; Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany. anna.reuter@uni-heidelberg.de.
Smolic S; Department of Economics, University of Göttingen, Göttingen, Germany. anna.reuter@uni-heidelberg.de.
Bärnighausen T; Faculty of Economics and Business, University of Zagreb, Zagreb, Croatia.
Sudharsanan N; Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany.

BMC Health Serv Res ; 23(1): 544, 2023 May 25.

Article em En | MEDLINE | ID: mdl-37231416

Assuntos

COVID-19; Masculino; Humanos; Feminino; COVID-19/epidemiologia; Pandemias; Sensibilidade e Especificidade; Aprendizado de Máquina; Atenção à Saúde

Palavras-chave

COVID-19; Europe; Machine learning; Missed care; Prediction

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google