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08/09/2023
Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes
The large amount of time clinicians spend sifting through patient notes ...
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11/28/2022
Machine Learning for Health symposium 2022 – Extended Abstract track
A collection of the extended abstracts that were presented at the 2nd Ma...
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10/19/2022
TabLLM: Few-shot Classification of Tabular Data with Large Language Models
We study the application of large language models to zero-shot and few-s...
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05/25/2022
Large Language Models are Zero-Shot Clinical Information Extractors
We show that large language models, such as GPT-3, perform well at zero-...
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02/02/2022
Co-training Improves Prompt-based Learning for Large Language Models
We demonstrate that co-training (Blum Mitchell, 1998) can improve th...
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11/04/2021
Leveraging Time Irreversibility with Order-Contrastive Pre-training
Label-scarce, high-dimensional domains such as healthcare present a chal...
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09/23/2021
MedKnowts: Unified Documentation and Information Retrieval for Electronic Health Records
Clinical documentation can be transformed by Electronic Health Records, ...
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03/08/2021
Assessing the Impact of Automated Suggestions on Decision Making: Domain Experts Mediate Model Errors but Take Less Initiative
Automated decision support can accelerate tedious tasks as users can foc...
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07/31/2020
Robust Benchmarking for Machine Learning of Clinical Entity Extraction
Clinical studies often require understanding elements of a patient's nar...
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07/29/2020
Fast, Structured Clinical Documentation via Contextual Autocomplete
We present a system that uses a learned autocompletion mechanism to faci...
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07/23/2020
PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming
Data cleaning can be naturally framed as probabilistic inference in a ge...
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01/13/2020
Model-assisted cohort selection with bias analysis for generating large-scale cohorts from the EHR for oncology research
Objective Electronic health records (EHRs) are a promising source of dat...
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10/02/2019
Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph
Increasingly large electronic health records (EHRs) provide an opportuni...
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11/30/2018
TIFTI: A Framework for Extracting Drug Intervals from Longitudinal Clinic Notes
Oral drugs are becoming increasingly common in oncology care. In contras...
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02/02/2018