Mapping of machine learning approaches for description, prediction, and causal inference in the social and health sciences.

Leist, Anja K; Klee, Matthias; Kim, Jung Hyun; Rehkopf, David H; Bordas, Stéphane P A; Muniz-Terrera, Graciela; Wade, Sara

Leist, Anja K; Klee, Matthias; Kim, Jung Hyun; Rehkopf, David H; Bordas, Stéphane P A; Muniz-Terrera, Graciela; Wade, Sara.

Afiliación

Leist AK; Department of Social Sciences, Institute for Research on Socio-Economic Inequality (IRSEI), University of Luxembourg, Esch-sur-Alzette, Luxembourg.
Klee M; Department of Social Sciences, Institute for Research on Socio-Economic Inequality (IRSEI), University of Luxembourg, Esch-sur-Alzette, Luxembourg.
Kim JH; Department of Social Sciences, Institute for Research on Socio-Economic Inequality (IRSEI), University of Luxembourg, Esch-sur-Alzette, Luxembourg.
Rehkopf DH; Department of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA.
Bordas SPA; Department of Engineering, University of Luxembourg, Esch-sur-Alzette, Luxembourg.
Muniz-Terrera G; Centre for Dementia Prevention, University of Edinburgh, Edinburgh, UK.
Wade S; Ohio University, Athens, OH, USA.

Sci Adv ; 8(42): eabk1942, 2022 Oct 21.

Article en En | MEDLINE | ID: mdl-36260666

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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Adv Año: 2022 Tipo del documento: Article País de afiliación: Luxemburgo

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