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From the 1 of 16 linked papers with an AI index.

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20172020
most citedCounterfactual Reasoning for Fair Clinical Risk Prediction

10 citations · 24 across the 6 of their papers we have counts for

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cs.LG20192 cited

The accuracy vs. coverage trade-off in patient-facing diagnosis models

Anitha Kannan, Jason Alan Fries, Eric Kramer +3

A third of adults in America use the Internet to diagnose medical concerns, and online symptom checkers are increasingly part of this process. These tools are powered by diagnosis…

cs.LG20193 cited

Missingness as Stability: Understanding the Structure of Missingness in Longitudinal EHR data and its Impact on Reinforcement Learning in Healthcare

Scott L. Fleming, Kuhan Jeyapragasan, Tony Duan +4

There is an emerging trend in the reinforcement learning for healthcare literature. In order to prepare longitudinal, irregularly sampled, clinical datasets for reinforcement learn…

cs.LG201910 cited

Counterfactual Reasoning for Fair Clinical Risk Prediction

Stephen Pfohl, Tony Duan, Daisy Yi Ding +1

The use of machine learning systems to support decision making in healthcare raises questions as to what extent these systems may introduce or exacerbate disparities in care for hi…

cs.LG2018

Predicting Inpatient Discharge Prioritization With Electronic Health Records

Anand Avati, Stephen Pfohl, Chris Lin +7

The paper develops machine‑learning models using eight years of Stanford Hospital electronic health records to predict which inpatients will be discharged within the next 24 hours,…

cs.LG2018

Creating Fair Models of Atherosclerotic Cardiovascular Disease Risk

Stephen Pfohl, Ben Marafino, Adrien Coulet +3

Guidelines for the management of atherosclerotic cardiovascular disease (ASCVD) recommend the use of risk stratification models to identify patients most likely to benefit from cho…

cs.LG2018

Countdown Regression: Sharp and Calibrated Survival Predictions

Anand Avati, Tony Duan, Sharon Zhou +3

Probabilistic survival predictions from models trained with Maximum Likelihood Estimation (MLE) can have high, and sometimes unacceptably high variance. The field of meteorology, w…