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Enabling counterfactual survival analysis with balanced rep..:
, In:
Proceedings of the Conference on Health, Inference, and Learning
,
Chapfuwa, Paidamoyo
;
Assaad, Serge
;
Zeng, Shuxi
... - p. 133-145 , 2021
Link:
https://dl.acm.org/doi/10.1145/3450439.3451875
RT T1 <cTitle>Proceedings of the Conference on Health, Inference, and Learning</cTitle>: T1 <Title>Enabling counterfactual survival analysis with balanced representations</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3451875&Exemplar=1&LAN=DE A1 Chapfuwa, Paidamoyo A1 Assaad, Serge A1 Zeng, Shuxi A1 Pencina, Michael J. A1 Carin, Lawrence A1 Henao, Ricardo PB ACM YR 2021 K1 causal survival analysis K1 counterfactual inference K1 hazard ratio K1 representation learning K1 survival analysis K1 time-to-event K1 Computing methodologies K1 Machine learning K1 Machine learning algorithms K1 Machine learning approaches K1 Learning latent representations SP 133 OP 145 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3450439.3451875 DO https://dl.acm.org/doi/10.1145/3450439.3451875 SF ELIB - SuUB Bremen
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