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Machine Learning for Health (ML4H) 2022
Antonio Parziale, Monica Agrawal, Shengpu Tang, Kristen Severson, Luis Oala, Adarsh Subbaswamy, Sayantan Kumar, Elora Schoerverth, Stefan Hegselmann, Helen Zhou, Ghada Zamzmi, Purity Mugambi, Elena Sizikova, Girmaw Abebe Tadesse, Yuyin Zhou, Taylor Killian, Haoran Zhang, Fahad Kamran, Andrea Hobby, Mars Huang, Ahmed Alaa, Harvineet Singh, Irene Y. Chen, Shalmali JoshiProceedings of the 2nd Machine Learning for Health symposium, PMLR 193:1-11, 2022.
Cite this Paper
BibTeX
@InProceedings{pmlr-v193-parziale22a,
title = {Machine Learning for Health (ML4H) 2022},
author = {Parziale, Antonio and Agrawal, Monica and Tang, Shengpu and Severson, Kristen and Oala, Luis and Subbaswamy, Adarsh and Kumar, Sayantan and Schoerverth, Elora and Hegselmann, Stefan and Zhou, Helen and Zamzmi, Ghada and Mugambi, Purity and Sizikova, Elena and Tadesse, Girmaw Abebe and Zhou, Yuyin and Killian, Taylor and Zhang, Haoran and Kamran, Fahad and Hobby, Andrea and Huang, Mars and Alaa, Ahmed and Singh, Harvineet and Chen, Irene Y. and Joshi, Shalmali},
booktitle = {Proceedings of the 2nd Machine Learning for Health symposium},
pages = {1--11},
year = {2022},
editor = {Parziale, Antonio and Agrawal, Monica and Joshi, Shalmali and Chen, Irene Y. and Tang, Shengpu and Oala, Luis and Subbaswamy, Adarsh},
volume = {193},
series = {Proceedings of Machine Learning Research},
month = {28 Nov},
publisher = {PMLR},
pdf = {https://proceedings.mlr.press/v193/parziale22a/parziale22a.pdf},
url = {https://proceedings.mlr.press/v193/parziale22a.html}
}
Endnote
%0 Conference Paper
%T Machine Learning for Health (ML4H) 2022
%A Antonio Parziale
%A Monica Agrawal
%A Shengpu Tang
%A Kristen Severson
%A Luis Oala
%A Adarsh Subbaswamy
%A Sayantan Kumar
%A Elora Schoerverth
%A Stefan Hegselmann
%A Helen Zhou
%A Ghada Zamzmi
%A Purity Mugambi
%A Elena Sizikova
%A Girmaw Abebe Tadesse
%A Yuyin Zhou
%A Taylor Killian
%A Haoran Zhang
%A Fahad Kamran
%A Andrea Hobby
%A Mars Huang
%A Ahmed Alaa
%A Harvineet Singh
%A Irene Y. Chen
%A Shalmali Joshi
%B Proceedings of the 2nd Machine Learning for Health symposium
%C Proceedings of Machine Learning Research
%D 2022
%E Antonio Parziale
%E Monica Agrawal
%E Shalmali Joshi
%E Irene Y. Chen
%E Shengpu Tang
%E Luis Oala
%E Adarsh Subbaswamy
%F pmlr-v193-parziale22a
%I PMLR
%P 1--11
%U https://proceedings.mlr.press/v193/parziale22a.html
%V 193
APA
Parziale, A., Agrawal, M., Tang, S., Severson, K., Oala, L., Subbaswamy, A., Kumar, S., Schoerverth, E., Hegselmann, S., Zhou, H., Zamzmi, G., Mugambi, P., Sizikova, E., Tadesse, G.A., Zhou, Y., Killian, T., Zhang, H., Kamran, F., Hobby, A., Huang, M., Alaa, A., Singh, H., Chen, I.Y. & Joshi, S.. (2022). Machine Learning for Health (ML4H) 2022. Proceedings of the 2nd Machine Learning for Health symposium, in Proceedings of Machine Learning Research 193:1-11 Available from https://proceedings.mlr.press/v193/parziale22a.html.