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01/29/2023
Fair Decision-making Under Uncertainty
There has been concern within the artificial intelligence (AI) community...
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08/28/2022
Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19
With COVID-19 now pervasive, identification of high-risk individuals is ...
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03/30/2022
Longitudinal Fairness with Censorship
Recent works in artificial intelligence fairness attempt to mitigate dis...
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02/15/2022
Fairness Amidst Non-IID Graph Data: A Literature Review
Fairness in machine learning (ML), the process to understand and correct...
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08/17/2021
FARF: A Fair and Adaptive Random Forests Classifier
As Artificial Intelligence (AI) is used in more applications, the need t...
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12/09/2020
Unpacking the Drop in COVID-19 Case Fatality Rates: A Study of National and Florida Line-Level Data
Since the COVID-19 pandemic first reached the United States, the case fa...
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07/15/2020
Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate
In time-to-event prediction problems, a standard approach to estimating ...
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06/02/2020
Predicting Mortality Risk in Viral and Unspecified Pneumonia to Assist Clinicians with COVID-19 ECMO Planning
Respiratory complications due to coronavirus disease COVID-19 have claim...
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11/12/2019
Harmonic Mean Point Processes: Proportional Rate Error Minimization for Obtundation Prediction
In healthcare, the highest risk individuals for morbidity and mortality ...
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12/02/2017