1 code implementation • 17 Nov 2020 • Shirly Wang, Seung Eun Yi, Shalmali Joshi, Marzyeh Ghassemi
Reliable treatment effect estimation from observational data depends on the availability of all confounding information.
2 code implementations • 19 Jul 2019 • Shirly Wang, Matthew B. A. McDermott, Geeticka Chauhan, Michael C. Hughes, Tristan Naumann, Marzyeh Ghassemi
Robust machine learning relies on access to data that can be used with standardized frameworks in important tasks and the ability to develop models whose performance can be reasonably reproduced.
Ranked #3 on Length-of-Stay prediction on MIMIC-III
no code implementations • 2 Jul 2019 • Matthew B. A. McDermott, Shirly Wang, Nikki Marinsek, Rajesh Ranganath, Marzyeh Ghassemi, Luca Foschini
Machine learning algorithms designed to characterize, monitor, and intervene on human health (ML4H) are expected to perform safely and reliably when operating at scale, potentially outside strict human supervision.