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08/27/2023
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records
The ability of large language models (LLMs) to follow natural language i...
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07/05/2023
EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models
While the general machine learning (ML) community has benefited from pub...
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03/22/2023
The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs
The successes of foundation models such as ChatGPT and AlphaFold have sp...
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01/09/2023
Self-Supervised Time-to-Event Modeling with Structured Medical Records
Time-to-event models (also known as survival models) are used in medicin...
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11/20/2022
Instability in clinical risk stratification models using deep learning
While it has been well known in the ML community that deep learning mode...
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09/15/2022
Clinical Utility Gains from Incorporating Comorbidity and Geographic Location Information into Risk Estimation Equations for Atherosclerotic Cardiovascular Disease
Objective: There are several efforts to re-learn the 2013 ACC/AHA pooled...
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08/05/2020
Trove: Ontology-driven weak supervision for medical entity classification
Motivation: Recognizing named entities (NER) and their associated attrib...
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06/24/2020
A Clinical Trial Derived Reference Set for Evaluating Observational Study Methods
Informing clinical practice in a learning health system requires good ca...
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01/06/2020
Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data
Widespread adoption of electronic health records (EHRs) has fueled devel...
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05/28/2019