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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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04/25/2023
Sample-Specific Debiasing for Better Image-Text Models
Self-supervised representation learning on image-text data facilitates c...
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12/11/2022
Using Multiple Instance Learning to Build Multimodal Representations
Image-text multimodal representation learning aligns data across modalit...
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08/05/2022
RadTex: Learning Efficient Radiograph Representations from Text Reports
Automated analysis of chest radiography using deep learning has tremendo...
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11/13/2021
Image Classification with Consistent Supporting Evidence
Adoption of machine learning models in healthcare requires end users' tr...
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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
Multimodal Representation Learning via Maximization of Local Mutual Information
We propose and demonstrate a representation learning approach by maximiz...
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12/10/2020
Secondary Use of Employee COVID-19 Symptom Reporting as Syndromic Surveillance as an Early Warning Signal of Future Hospitalizations
Importance: Alternative methods for hospital utilization forecasting, es...
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08/22/2020
Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment
We propose and demonstrate a novel machine learning algorithm that asses...
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08/13/2020
Deep Learning to Quantify Pulmonary Edema in Chest Radiographs
Background: Clinical management decisions for acutely decompensated CHF ...
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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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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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02/27/2019
Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images
We propose and demonstrate machine learning algorithms to assess the sev...
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01/21/2019
MIMIC-CXR: A large publicly available database of labeled chest radiographs
Chest radiography is an extremely powerful imaging modality, allowing fo...
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08/02/2016
Clinical Tagging with Joint Probabilistic Models
We describe a method for parameter estimation in bipartite probabilistic...
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11/10/2015
