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| LEADER |
01488nam a2200265Ia 4500 |
| 001 |
10.1093-bioinformatics-btab039 |
| 008 |
220427s2021 CNT 000 0 und d |
| 020 |
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|a 13674803 (ISSN)
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| 245 |
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|a mlr3proba: An R package for machine learning in survival analysis
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| 260 |
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|b Oxford University Press
|c 2021
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| 856 |
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|z View Fulltext in Publisher
|u https://doi.org/10.1093/bioinformatics/btab039
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|a 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. © The Author(s) 2021. Published by Oxford University Press.
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|a article
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|a benchmarking
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|a bioinformatics
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|a economics
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| 650 |
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|a library
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| 650 |
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|a machine learning
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| 650 |
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|a survival analysis
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| 700 |
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|a Bender, A.
|e author
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|a Bischl, B.
|e author
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|a Király, F.J.
|e author
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|a Lang, M.
|e author
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|a Sonabend, R.
|e author
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| 773 |
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|t Bioinformatics
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