Steven Horng | DeepAI

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Featured Co-authors

Xin Wang
382 publications
David Sontag
75 publications
Jacob Andreas
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Polina Golland
55 publications
Peter Szolovits
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Matthew P. Lungren
29 publications
Daniel Moyer
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Divya Gopinath
17 publications
Ching-Yun Ko
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Monica Agrawal
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Jonathan Rubin
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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 ...

0 Sharon Jiang, et al. ∙

∙ 04/25/2023

Sample-Specific Debiasing for Better Image-Text Models

Self-supervised representation learning on image-text data facilitates c...

0 Peiqi Wang, et al. ∙

∙ 12/11/2022

Using Multiple Instance Learning to Build Multimodal Representations

Image-text multimodal representation learning aligns data across modalit...

0 Peiqi Wang, et al. ∙

∙ 08/05/2022

RadTex: Learning Efficient Radiograph Representations from Text Reports

Automated analysis of chest radiography using deep learning has tremendo...

0 Keegan Quigley, et al. ∙

∙ 11/13/2021

Image Classification with Consistent Supporting Evidence

Adoption of machine learning models in healthcare requires end users' tr...

0 Peiqi Wang, et al. ∙

∙ 09/23/2021

MedKnowts: Unified Documentation and Information Retrieval for Electronic Health Records

Clinical documentation can be transformed by Electronic Health Records, ...

0 Luke Murray, et al. ∙

∙ 03/08/2021

Multimodal Representation Learning via Maximization of Local Mutual Information

We propose and demonstrate a representation learning approach by maximiz...

0 Ruizhi Liao, et al. ∙

∙ 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...

0 Steven Horng, et al. ∙

∙ 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...

13 Geeticka Chauhan, et al. ∙

∙ 08/13/2020

Deep Learning to Quantify Pulmonary Edema in Chest Radiographs

Background: Clinical management decisions for acutely decompensated CHF ...

16 Steven Horng, et al. ∙

∙ 07/29/2020

Fast, Structured Clinical Documentation via Contextual Autocomplete

We present a system that uses a learned autocompletion mechanism to faci...

9 Divya Gopinath, et al. ∙

∙ 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...

31 Irene Y. Chen, et al. ∙

∙ 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...

0 Ruizhi Liao, et al. ∙

∙ 01/21/2019

MIMIC-CXR: A large publicly available database of labeled chest radiographs

Chest radiography is an extremely powerful imaging modality, allowing fo...

0 Alistair E. W. Johnson, et al. ∙

∙ 08/02/2016

Clinical Tagging with Joint Probabilistic Models

We describe a method for parameter estimation in bipartite probabilistic...

0 Yoni Halpern, et al. ∙

∙ 11/10/2015

Anchored Discrete Factor Analysis

We present a semi-supervised learning algorithm for learning discrete fa...

0 Yoni Halpern, et al. ∙

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