@article{survlatentodeaneuralodebasedtimeto,
  title = {SurvLatent ODE : A Neural ODE based time-to-event model with competing risks for longitudinal data improves cancer-associated Venous Thromboembolism (VTE) prediction},
  author = {Intae Moon and Stefan Groha and Alexander Gusev},
  year = {2022},
  eprint = {2204.09633},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2204.09633v2},
}