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mlr3proba: an R package for machine learning in survival analysis.
Sonabend, Raphael; Király, Franz J; Bender, Andreas; Bischl, Bernd; Lang, Michel.
Afiliação
  • Sonabend R; Department of Statistical Science, University College London, London WC1E 6BT, UK.
  • Király FJ; Department of Statistical Science, University College London, London WC1E 6BT, UK.
  • Bender A; Department of Statistics, LMU Munich, Munich 80539, Germany.
  • Bischl B; Department of Statistics, LMU Munich, Munich 80539, Germany.
  • Lang M; Department of Statistics, LMU Munich, Munich 80539, Germany.
Bioinformatics ; 37(17): 2789-2791, 2021 Sep 09.
Article em En | MEDLINE | ID: mdl-33523131
ABSTRACT

SUMMARY:

As machine learning has become increasingly popular over the last few decades, so too has the number of machine-learning interfaces for implementing these models. Whilst many R libraries exist for machine learning, very few offer extended support for survival analysis. This is problematic considering its importance in fields like medicine, bioinformatics, economics, engineering and more. mlr3proba provides a comprehensive machine-learning interface for survival analysis and connects with mlr3's general model tuning and benchmarking facilities to provide a systematic infrastructure for survival modelling and evaluation. AVAILABILITY AND IMPLEMENTATION mlr3proba is available under an LGPL-3 licence on CRAN and at https//github.com/mlr-org/mlr3proba, with further documentation at https//mlr3book.mlr-org.com/survival.html.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido