"SurvLatent ODE : A Neural ODE based time-to-event model with competing ..."

Intae Moon, Stefan Groha, Alexander Gusev (2022)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2023-02-17

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  - electronic edition @ mlr.press (open access)
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  dblp key:
  - conf/mlhc/MoonGG22
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  persistent URL:
  - https://dblp.org/rec/conf/mlhc/MoonGG22
Intae Moon, Stefan Groha, Alexander Gusev:
SurvLatent ODE : A Neural ODE based time-to-event model with competing risks for longitudinal data improves cancer-associated Venous Thromboembolism (VTE) prediction. MLHC 2022: 800-827

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