Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2022 Symposium. Hegselmann, S., Zhou, H., Zhou, Y., Chien, J., Nagaraj, S., Hulkund, N., Bhave, S., Oberst, M., Pai, A., Ellington, C., Ikezogwo, W., Dou, J. X., Agrawal, M., Li, C., Argaw, P., Biswas, A., Gupta, M., Li, X., Lemanczyk, M., Zhang, Y., Garbin, C., Healey, E., Kim, H., Boone, C., Daneshjou, R., Shi, S., Pezzotti, N., Pfohl, S. R., Fong, E., Naik, A., Lengerich, B., Xu, Y., Bidwell, J., Sendak, M., Kim, B., Hendrix, N., Spathis, D., Seita, J., Quast, B., Coffee, M., Stultz, C., Chen, I. Y., Joshi, S., & Tadesse, G. A. Zenodo, May, 2023.
Paper doi bibtex @article{stefan_hegselmann_2023_7951122,
title = {{Recent Advances, Applications and Open Challenges
in Machine Learning for Health: Reflections from
Research Roundtables at ML4H 2022 Symposium}},
author = {Stefan Hegselmann and
Helen Zhou and
Yuyin Zhou and
Jennifer Chien and
Sujay Nagaraj and
Neha Hulkund and
Shreyas Bhave and
Michael Oberst and
Amruta Pai and
Caleb Ellington and
Wisdom Ikezogwo and
Jason Xiaotian Dou and
Monica Agrawal and
Changye Li and
Peniel Argaw and
Arpita Biswas and
Mehak Gupta and
Xinhui Li and
Marta Lemanczyk and
Yuhui Zhang and
Christian Garbin and
Elizabeth Healey and
Heejong Kim and
Claire Boone and
Roxana Daneshjou and
Siyu Shi and
Nicola Pezzotti and
Stephen R. Pfohl and
Edwin Fong and
Aakanksha Naik and
Ben Lengerich and
Ying Xu and
Jonathan Bidwell and
Mark Sendak and
Byung-Hak Kim and
Nathaniel Hendrix and
Dimitris Spathis and
Jun Seita and
Bastiaan Quast and
Megan Coffee and
Collin Stultz and
Irene Y. Chen and
Shalmali Joshi and
Girmaw Abebe Tadesse},
month = May,
year = 2023,
publisher = {Zenodo},
doi = {10.5281/zenodo.7951122},
url = {https://doi.org/10.5281/zenodo.7951122},
keywords = {Healthcare},
}
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