Showing 1–17 of 17 results
/ Date/ Name
Dec 9, 2024Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRsNov 14, 2024Time-to-Event Pretraining for 3D Medical ImagingJun 10, 2024Merlin: A Computed Tomography Vision-Language Foundation Model and DatasetAug 27, 2023MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical RecordsMar 22, 2023The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRsNov 20, 2022Instability in clinical risk stratification models using deep learningFeb 3, 2022Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcareAug 27, 2021A comparison of approaches to improve worst-case predictive model performance over patient subpopulationsAug 5, 2020Ontology-driven weak supervision for clinical entity classification in electronic health recordsJul 20, 2020An Empirical Characterization of Fair Machine Learning For Clinical Risk PredictionJan 6, 2020Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record DataJul 14, 2019Counterfactual Reasoning for Fair Clinical Risk PredictionDec 2, 2018Predicting Inpatient Discharge Prioritization With Electronic Health RecordsSep 12, 2018Creating Fair Models of Atherosclerotic Cardiovascular Disease RiskAug 9, 2018The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records DataDec 28, 2015A novel application of Fiber Bragg Grating (FBG) sensors in MPGDDec 28, 2015Fiber Bragg Grating (FBG) sensors as flatness and mechanical stretching sensors