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Predicting Patient-Level 3-Level Version of EQ-5D Index Scores From a Large International Database Using Machine Learning and Regression Methods.
Zrubka, Zsombor; Csabai, István; Hermann, Zoltán; Golicki, Dominik; Prevolnik-Rupel, Valentina; Ogorevc, Marko; Gulácsi, László; Péntek, Márta.
Afiliación
  • Zrubka Z; Health Economics Research Center, University Research and Innovation Center, Óbuda University, Budapest, Hungary; Corvinus Institue for Advanced Studies, Corvinus University of Budapest, Budapest, Hungary. Electronic address: zrubka.zsombor@uni-obuda.hu.
  • Csabai I; Department of Physics of Complex Systems, ELTE Eötvös Loránd University, Budapest, Hungary.
  • Hermann Z; Institute of Economics, Centre for Economic and Regional Studies, Budapest, Hungary; Institute of Economics, Corvinus University of Budapest, Budapest, Hungary.
  • Golicki D; Department of Experimental and Clinical Pharmacology, Medical University of Warsaw, Warsaw, Poland.
  • Prevolnik-Rupel V; Institute for Economic Research, Ljubljana, Slovenia.
  • Ogorevc M; Institute for Economic Research, Ljubljana, Slovenia.
  • Gulácsi L; Health Economics Research Center, University Research and Innovation Center, Óbuda University, Budapest, Hungary; Corvinus Institue for Advanced Studies, Corvinus University of Budapest, Budapest, Hungary.
  • Péntek M; Health Economics Research Center, University Research and Innovation Center, Óbuda University, Budapest, Hungary.
Value Health ; 25(9): 1590-1601, 2022 09.
Article en En | MEDLINE | ID: mdl-35300933
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Calidad de Vida / Inteligencia Artificial Tipo de estudio: Prognostic_studies / Risk_factors_studies Aspecto: Patient_preference Límite: Humans Idioma: En Revista: Value Health Asunto de la revista: FARMACOLOGIA Año: 2022 Tipo del documento: Article
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Calidad de Vida / Inteligencia Artificial Tipo de estudio: Prognostic_studies / Risk_factors_studies Aspecto: Patient_preference Límite: Humans Idioma: En Revista: Value Health Asunto de la revista: FARMACOLOGIA Año: 2022 Tipo del documento: Article