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Outpatient Readmission in Rheumatology: A Machine Learning Predictive Model of Patient's Return to the Clinic.
Madrid-García, Alfredo; Font-Urgelles, Judit; Vega-Barbas, Mario; León-Mateos, Leticia; Freites, Dalifer Dayanira; Lajas, Cristina Jesus; Pato, Esperanza; Jover, Juan Angel; Fernández-Gutiérrez, Benjamín; Abásolo-Alcazar, Lydia; Rodríguez-Rodríguez, Luis.
Afiliação
  • Madrid-García A; Rheumatology Department, and Health Research Institute (IdISSC), Hospital Clínico San Carlos, 28040 Madrid, Spain.
  • Font-Urgelles J; Rheumatology Department, and Health Research Institute (IdISSC), Hospital Clínico San Carlos, 28040 Madrid, Spain.
  • Vega-Barbas M; Dpto. Ingeniería Sistemas Telemáticos, ETSI Telecomunicación, Universidad Politécnica de Madrid, Avda. Complutense 3, 28040 Madrid, Spain.
  • León-Mateos L; Rheumatology Department, and Health Research Institute (IdISSC), Hospital Clínico San Carlos, 28040 Madrid, Spain.
  • Freites DD; Rheumatology Department, and Health Research Institute (IdISSC), Hospital Clínico San Carlos, 28040 Madrid, Spain.
  • Lajas CJ; Rheumatology Department, and Health Research Institute (IdISSC), Hospital Clínico San Carlos, 28040 Madrid, Spain.
  • Pato E; Rheumatology Department, and Health Research Institute (IdISSC), Hospital Clínico San Carlos, 28040 Madrid, Spain.
  • Jover JA; Rheumatology Department, and Health Research Institute (IdISSC), Hospital Clínico San Carlos, 28040 Madrid, Spain.
  • Fernández-Gutiérrez B; Rheumatology Department, and Health Research Institute (IdISSC), Hospital Clínico San Carlos, 28040 Madrid, Spain.
  • Abásolo-Alcazar L; Rheumatology Department, and Health Research Institute (IdISSC), Hospital Clínico San Carlos, 28040 Madrid, Spain.
  • Rodríguez-Rodríguez L; Rheumatology Department, and Health Research Institute (IdISSC), Hospital Clínico San Carlos, 28040 Madrid, Spain. lrrodriguez@salud.madrid.org.
J Clin Med ; 8(8)2019 Aug 02.
Article em En | MEDLINE | ID: mdl-31382409

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article