Natalie Harris

Developing Continuous Risk Models for Adverse Event Prediction in Electronic Health Records using Deep Learning

Suman V. Ravuri, Jack W. Rae, Thomas F. Osborne, 2020 .

Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records

Suman V. Ravuri, Jack W. Rae, Ivan V. Protsyuk, 2021, Nature Protocols.

Maintaining fairness across distribution shift: do we have viable solutions for real-world applications?

Ibrahim M. Alabdulmohsin, Yuan Liu, Vivek Natarajan, 2022, ArXiv.

Diagnosing failures of fairness transfer across distribution shift in real-world medical settings

Ibrahim M. Alabdulmohsin, Yuan Liu, Vivek Natarajan, 2022, NeurIPS.

Disability prediction in multiple sclerosis using performance outcome measures and demographic data

Negar Rostamzadeh, Nenad Tomašev, J. Schrouff, 2022, CHIL.

Multitask prediction of organ dysfunction in the intensive care unit using sequential subnetwork routing

Subhrajit Roy, Martin Seneviratne, Nenad Tomasev, 2021, J. Am. Medical Informatics Assoc..

Diagnosing failures of fairness transfer across distribution shift in real-world medical settings: Supplement

Yuan Liu, Vivek Natarajan, S. Chiappa, 2022 .