Search Results for author: Stephen Pfohl

Found 4 papers, 0 papers with code

Counterfactual Reasoning for Fair Clinical Risk Prediction

no code implementations14 Jul 2019 Stephen Pfohl, Tony Duan, Daisy Yi Ding, Nigam H. Shah

We investigate the extent to which the augmented counterfactual fairness criteria may be applied to develop fair models for prolonged inpatient length of stay and mortality with observational electronic health records data.

Counterfactual Inference Decision Making +1

Predicting Inpatient Discharge Prioritization With Electronic Health Records

no code implementations2 Dec 2018 Anand Avati, Stephen Pfohl, Chris Lin, Thao Nguyen, Meng Zhang, Philip Hwang, Jessica Wetstone, Kenneth Jung, Andrew Ng, Nigam H. Shah

Identifying patients who will be discharged within 24 hours can improve hospital resource management and quality of care.

Creating Fair Models of Atherosclerotic Cardiovascular Disease Risk

no code implementations12 Sep 2018 Stephen Pfohl, Ben Marafino, Adrien Coulet, Fatima Rodriguez, Latha Palaniappan, Nigam H. Shah

Guidelines for the management of atherosclerotic cardiovascular disease (ASCVD) recommend the use of risk stratification models to identify patients most likely to benefit from cholesterol-lowering and other therapies.

Fairness

The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data

no code implementations9 Aug 2018 Daisy Yi Ding, Chloé Simpson, Stephen Pfohl, Dave C. Kale, Kenneth Jung, Nigam H. Shah

We present experiments that elucidate when multitask learning with neural nets improves performance for phenotyping using EHR data relative to neural nets trained for a single phenotype and to well-tuned logistic regression baselines.

Cannot find the paper you are looking for? You can Submit a new open access paper.