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A customizable deep learning model for nosocomial risk prediction from critical care notes with indirect supervision

Journal of the American Medical Informatics Association : JAMIA, 2020-04, Vol.27 (4), p.567-576

2020

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Deep Learning from Incomplete Data: Detecting Imminent Risk of Hospital-acquired Pneumonia in ICU Patients

AMIA ... Annual Symposium proceedings, 2019, Vol.2019, p.467-476

2019

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Automatic recognition of symptom severity from psychiatric evaluation records

Journal of biomedical informatics, 2017-11, Vol.75, p.S71-S84

2017

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Automatic question answering for multiple stakeholders, the epidemic question answering dataset

Scientific data, 2022-07, Vol.9 (1), p.432-432, Article 432

2022

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Empirical Findings on the Role of Structured Data, Unstructured Data, and their Combination for Automatic Clinical Phenotyping

AMIA Summits on Translational Science proceedings, 2021-05, Vol.2021, p.445-454

2021

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Multi-modal Patient Cohort Identification from EEG Report and Signal Data

AMIA ... Annual Symposium proceedings, 2016, Vol.2016, p.1794-1803

2016

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Flight of the PEGASUS? Comparing Transformers on Few-Shot and Zero-Shot Multi-document Abstractive Summarization

Proceedings - International Conference on Computational Linguistics, 2020-12, Vol.2020, p.5640-5646

2020

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Learning relevance models for patient cohort retrieval

JAMIA open, 2018-10, Vol.1 (2), p.265-275

2018

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Deep Learning Meets Biomedical Ontologies: Knowledge Embeddings for Epilepsy

AMIA ... Annual Symposium proceedings, 2017, Vol.2017, p.1233-1242

2017

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Inferring Clinical Correlations from EEG Reports with Deep Neural Learning

AMIA ... Annual Symposium proceedings, 2017, Vol.2017, p.770-779

2017

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Memory-Augmented Active Deep Learning for Identifying Relations Between Distant Medical Concepts in Electroencephalography Reports

AMIA Summits on Translational Science proceedings, 2018, Vol.2017, p.156-165

2018

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Automatically Linking Registered Clinical Trials to their Published Results with Deep Highway Networks

AMIA Summits on Translational Science proceedings, 2018, Vol.2017, p.54-63

2018

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Deep Learning from EEG Reports for Inferring Underspecified Information

AMIA Summits on Translational Science proceedings, 2017, Vol.2017, p.112-121

2017

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Knowledge Representations and Inference Techniques for Medical Question Answering

ACM transactions on intelligent systems and technology, 2018-03, Vol.9 (2), p.1-26

2018

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Real-time digital twin-based optimization with predictive simulation learning

Journal of simulation : JOS, 2024-01, Vol.ahead-of-print (ahead-of-print), p.1-18

2024

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Medical Question Answering for Clinical Decision Support

Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, 2016, p.297-306

2016

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Real-Time Digital Twin Based Optimization with Predictive Simulation Learning

Goodwin, Travis J

2023

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The Impact of Belief Values on the Identification of Patient Cohorts

Information Access Evaluation. Multilinguality, Multimodality, and Visualization, p.155-166

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Active Deep Learning-Based Annotation of Electroencephalography Reports for Cohort Identification

AMIA Summits on Translational Science proceedings, 2017, Vol.2017, p.229-238

2017

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Medical Question Answering and Patient Cohort Retrieval

Goodwin, Travis R

2018

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Inferring the Interactions of Risk Factors from EHRs

AMIA Summits on Translational Science proceedings, 2016, Vol.2016, p.78-87

2016

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A Probabilistic Reasoning Method for Predicting the Progression of Clinical Findings from Electronic Medical Records

AMIA Summits on Translational Science proceedings, 2015, Vol.2015, p.61-65

2015

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GRAPHICAL INDUCTION OF QUALIFIED MEDICAL KNOWLEDGE

International journal of semantic computing, 2013-12, Vol.7 (4), p.377-405

2013

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Discovering the Temporal Interactions between Clinical Observations

2015 International Conference on Healthcare Informatics, 2015, p.484-493

Goodwin, Travis

2015

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Automatic Generation of a Qualified Medical Knowledge Graph and Its Usage for Retrieving Patient Cohorts from Electronic Medical Records

2013 IEEE Seventh International Conference on Semantic Computing, 2013, p.363-370

2013

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A customizable deep learning model for nosocomial risk prediction from critical care notes with indirect supervision

Deep Learning from Incomplete Data: Detecting Imminent Risk of Hospital-acquired Pneumonia in ICU Patients

Automatic recognition of symptom severity from psychiatric evaluation records

Automatic question answering for multiple stakeholders, the epidemic question answering dataset

Empirical Findings on the Role of Structured Data, Unstructured Data, and their Combination for Automatic Clinical Phenotyping

Multi-modal Patient Cohort Identification from EEG Report and Signal Data

Flight of the PEGASUS? Comparing Transformers on Few-Shot and Zero-Shot Multi-document Abstractive Summarization

Learning relevance models for patient cohort retrieval

Deep Learning Meets Biomedical Ontologies: Knowledge Embeddings for Epilepsy

Inferring Clinical Correlations from EEG Reports with Deep Neural Learning

Memory-Augmented Active Deep Learning for Identifying Relations Between Distant Medical Concepts in Electroencephalography Reports

Automatically Linking Registered Clinical Trials to their Published Results with Deep Highway Networks

Deep Learning from EEG Reports for Inferring Underspecified Information

Knowledge Representations and Inference Techniques for Medical Question Answering

Real-time digital twin-based optimization with predictive simulation learning

Medical Question Answering for Clinical Decision Support

Real-Time Digital Twin Based Optimization with Predictive Simulation Learning

The Impact of Belief Values on the Identification of Patient Cohorts

Active Deep Learning-Based Annotation of Electroencephalography Reports for Cohort Identification

Medical Question Answering and Patient Cohort Retrieval

Inferring the Interactions of Risk Factors from EHRs

A Probabilistic Reasoning Method for Predicting the Progression of Clinical Findings from Electronic Medical Records

GRAPHICAL INDUCTION OF QUALIFIED MEDICAL KNOWLEDGE

Discovering the Temporal Interactions between Clinical Observations

Automatic Generation of a Qualified Medical Knowledge Graph and Its Usage for Retrieving Patient Cohorts from Electronic Medical Records

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