Research graph
References from Evaluating the impact of social determinants of health on model performance and fairness in artificial intelligence for glaucoma progression prediction. Local targets link to admitted publications; unresolved targets remain external evidence.
Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health record data
10.1016/s2589-7500(22)00049-8 · 2022 · External reference
Predicting next-day discharge via electronic health record access logs
10.1093/jamia/ocab211 · 2021 · External reference
Predicting hospitalizations from electronic health record data
10.37765/ajmc.2020.42147 · 2020 · External reference
Predicting outcomes of psychotherapy for depression with electronic health record data
10.1016/j.jadr.2021.100198 · 2021 · External reference
Using EHRs and machine learning for heart failure survival analysis
2015 · External reference
Dissecting racial bias in an algorithm used to manage the health of populations
10.1126/science.aax2342 · 2019 · External reference
Peeking into a black box, the fairness and generalizability of a MIMIC-III benchmarking model
10.1038/s41597-021-01110-7 · 2022 · External reference
Public opinion on use of race in clinical algorithms
10.1001/jamainternmed.2025.6929 · 2026 · External reference
Sociodemographic characteristics in clinical algorithms
10.1001/jamainternmed.2025.6926 · 2026 · External reference
The impact of race, ethnicity, and sex on fairness in artificial intelligence for glaucoma prediction models
10.1016/j.xops.2024.100596 · 2025 · External reference
Machine learning-based predictive modeling of surgical intervention in glaucoma using systemic data from electronic health records
10.1016/j.ajo.2019.07.005 · 2019 · External reference
Predictive analytics for glaucoma using data from the all of us research program
10.1016/j.ajo.2021.01.008 · 2021 · External reference
Predicting near-term glaucoma progression: an artificial intelligence approach using clinical free-text notes and data from electronic health records
10.3389/fmed.2023.1157016 · 2023 · External reference
Deep learning approaches for predicting glaucoma progression using electronic health records and natural language processing
10.1016/j.xops.2022.100127 · 2022 · External reference
Predicting glaucoma progression requiring surgery using clinical free-text notes and transfer learning with transformers
10.1167/tvst.11.3.37 · 2022 · External reference
Identifying, understanding, and addressing disparities in glaucoma care in the United States
10.1167/tvst.12.10.18 · 2023 · External reference
Unresolved reference
2025 · External reference
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2024 · External reference
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Prediction models for glaucoma in a multicenter electronic health records consortium: the Sight OUtcomes Research Collaborative
10.1016/j.xops.2023.100445 · 2024 · External reference
Unresolved reference
External reference
Generalizability challenges of mortality risk prediction models: a retrospective analysis on a multi-center database
10.1371/journal.pdig.0000023 · 2022 · External reference
Algorithmic fairness in artificial intelligence for medicine and healthcare
10.1038/s41551-023-01056-8 · 2023 · External reference
10.1145/3600211.3604719
10.1145/3600211.3604719 · External reference
Comparison of community-level and patient-level social risk data in a network of community health centers
10.1001/jamanetworkopen.2020.16852 · 2020 · External reference
Inherent trade-offs in the fair determination of risk scores
2017 · External reference
