On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series

Author(s):	Kuznetsova, R. and Pace, A. and Burger*, M. and Yèche, H. and Rätsch, G.
Book Title:	Proceedings of the 3rd Machine Learning for Health Symposium (ML4H)
Volume:	225
Pages:	268--291
Year:	2023
Month:	December

Series:	Proceedings of Machine Learning Research
Editors:	Hegselmann, S.and Parziale, A. and Shanmugam, D. and Tang, S. and Asiedu, M. N. and Chang, S. and Hartvigsen, T. and Singh, H.
Publisher:	PMLR

BibTeX Type:	Conference Paper (conference)

Event Place:	New Orleans, Louisiana, USA
State:	Published
URL:	https://proceedings.mlr.press/v225/kuznetsova23a.html

Electronic Archiving:	grant_archive
Note:	*equal contribution

BibTeX

@conference{Kuznetsovaetal23,
  title = {On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series},
  booktitle = {Proceedings of the 3rd Machine Learning for Health Symposium (ML4H) },
  volume = {225},
  pages = {268--291},
  series = {Proceedings of Machine Learning Research},
  editors = {Hegselmann, S.and Parziale, A. and Shanmugam, D. and Tang, S. and Asiedu, M. N. and Chang, S. and Hartvigsen, T. and Singh, H.},
  publisher = {PMLR},
  month = dec,
  year = {2023},
  note = {*equal contribution},
  author = {Kuznetsova*, R. and Pace*, A. and Burger*, M. and Yèche, H. and R{\"a}tsch, G.},
  url = {https://proceedings.mlr.press/v225/kuznetsova23a.html},
  month_numeric = {12}
}