SurvLatent ODE : A Neural ODE based time-to-event model with competing risks for longitudinal data improves cancer-associated Venous Thromboembolism (VTE) prediction

20 April 2022

Papers citing "SurvLatent ODE : A Neural ODE based time-to-event model with competing risks for longitudinal data improves cancer-associated Venous Thromboembolism (VTE) prediction"

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Title
Advancing Precision Oncology Through Modeling of Longitudinal and Multimodal Data Luoting Zhuang Stephen H. Park Steven J. Skates Ashley E. Prosper Denise R. Aberle William Hsu 119 0 0 11 Feb 2025
Deep Cox Mixtures for Survival Regression Chirag Nagpal Steve Yadlowsky Negar Rostamzadeh Katherine A. Heller CML 42 59 0 16 Jan 2021
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 219 1,897 0 06 Jun 2016
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network Jared Katzman Uri Shaham Jonathan Bates A. Cloninger Tingting Jiang Y. Kluger BDL CML OOD 115 1,231 0 02 Jun 2016