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Annotating longitudinal clinical narratives for de-identification: The 2014 i2b2/UTHealth corpus

Journal of biomedical informatics, 2015-12, Vol.58 (Suppl), p.S20-S29

2015

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Extracting medication information from clinical text

Journal of the American Medical Informatics Association : JAMIA, 2010-09, Vol.17 (5), p.514-518

2010

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Automated systems for the de-identification of longitudinal clinical narratives: Overview of 2014 i2b2/UTHealth shared task Track 1

Journal of biomedical informatics, 2015-12, Vol.58 (Suppl), p.S11-S19

2015

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De-identification of psychiatric intake records: Overview of 2016 CEGS N-GRID shared tasks Track 1

Journal of biomedical informatics, 2017-11, Vol.75, p.S4-S18

2017

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Practical applications for natural language processing in clinical research: The 2014 i2b2/UTHealth shared tasks

Journal of biomedical informatics, 2015-12, Vol.58 (Suppl), p.S1-S5

2015

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2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text

Journal of the American Medical Informatics Association : JAMIA, 2011-09, Vol.18 (5), p.552-556

2011

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Recognizing Obesity and Comorbidities in Sparse Data

Journal of the American Medical Informatics Association : JAMIA, 2009-07, Vol.16 (4), p.561-570

Uzuner, Ozlem

2009

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Bridging semantics and syntax with graph algorithms-state-of-the-art of extracting biomedical relations

Briefings in bioinformatics, 2017-01, Vol.18 (1), p.160-178

2017

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Annotating risk factors for heart disease in clinical narratives for diabetic patients

Journal of biomedical informatics, 2015-12, Vol.58 (Suppl), p.S78-S91

2015

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New approaches to cohort selection

Journal of the American Medical Informatics Association : JAMIA, 2019-11, Vol.26 (11), p.1161-1162

2019

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Identifying risk factors for heart disease over time: Overview of 2014 i2b2/UTHealth shared task Track 2

Journal of biomedical informatics, 2015-12, Vol.58 (Suppl), p.S67-S77

2015

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Segment convolutional neural networks (Seg-CNNs) for classifying relations in clinical notes

Journal of the American Medical Informatics Association : JAMIA, 2018-01, Vol.25 (1), p.93-98

2018

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Automatic prediction of coronary artery disease from clinical narratives

Journal of biomedical informatics, 2017-08, Vol.72, p.23-32

2017

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Clinical natural language processing for secondary uses

Journal of biomedical informatics, 2024-02, Vol.150, p.104596, Article 104596

2024

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Cohort selection for clinical trials: n2c2 2018 shared task track 1

Journal of the American Medical Informatics Association : JAMIA, 2019-11, Vol.26 (11), p.1163-1171

2019

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Advancing the state of the art in automatic extraction of adverse drug events from narratives

Journal of the American Medical Informatics Association : JAMIA, 2020-01, Vol.27 (1), p.1-2

2020

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A natural language processing challenge for clinical records: Research Domains Criteria (RDoC) for psychiatry

Journal of biomedical informatics, 2017-11, Vol.75, p.S1-S3

2017

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Prescription extraction using CRFs and word embeddings

Journal of biomedical informatics, 2017-08, Vol.72, p.60-66

2017

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Community annotation experiment for ground truth generation for the i2b2 medication challenge

Journal of the American Medical Informatics Association : JAMIA, 2010-09, Vol.17 (5), p.519-523

2010

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Emerging clinical applications of text analytics

International journal of medical informatics (Shannon, Ireland), 2020-02, Vol.134, p.103974-103974, Article 103974

2020

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Symptom severity prediction from neuropsychiatric clinical records: Overview of 2016 CEGS N-GRID shared tasks Track 2

Journal of biomedical informatics, 2017-11, Vol.75, p.S62-S70

2017

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Evaluating the State-of-the-Art in Automatic De-identification

Journal of the American Medical Informatics Association : JAMIA, 2007-09, Vol.14 (5), p.550-563

2007

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Leveraging natural language processing to augment structured social determinants of health data in the electronic health record

Journal of the American Medical Informatics Association : JAMIA, 2023-07, Vol.30 (8), p.1389-1397

2023

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Transferability of neural network clinical deidentification systems

Journal of the American Medical Informatics Association : JAMIA, 2021-11, Vol.28 (12), p.2661-2669

2021

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A systematic comparison of feature space effects on disease classifier performance for phenotype identification of five diseases

Journal of biomedical informatics, 2015-12, Vol.58 (Suppl), p.S92-S102

2015

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Annotating longitudinal clinical narratives for de-identification: The 2014 i2b2/UTHealth corpus

Extracting medication information from clinical text

Automated systems for the de-identification of longitudinal clinical narratives: Overview of 2014 i2b2/UTHealth shared task Track 1

De-identification of psychiatric intake records: Overview of 2016 CEGS N-GRID shared tasks Track 1

Practical applications for natural language processing in clinical research: The 2014 i2b2/UTHealth shared tasks

2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text

Recognizing Obesity and Comorbidities in Sparse Data

Bridging semantics and syntax with graph algorithms-state-of-the-art of extracting biomedical relations

Annotating risk factors for heart disease in clinical narratives for diabetic patients

New approaches to cohort selection

Identifying risk factors for heart disease over time: Overview of 2014 i2b2/UTHealth shared task Track 2

Segment convolutional neural networks (Seg-CNNs) for classifying relations in clinical notes

Automatic prediction of coronary artery disease from clinical narratives

Clinical natural language processing for secondary uses

Cohort selection for clinical trials: n2c2 2018 shared task track 1

Advancing the state of the art in automatic extraction of adverse drug events from narratives

A natural language processing challenge for clinical records: Research Domains Criteria (RDoC) for psychiatry

Prescription extraction using CRFs and word embeddings

Community annotation experiment for ground truth generation for the i2b2 medication challenge

Emerging clinical applications of text analytics

Symptom severity prediction from neuropsychiatric clinical records: Overview of 2016 CEGS N-GRID shared tasks Track 2

Evaluating the State-of-the-Art in Automatic De-identification

Leveraging natural language processing to augment structured social determinants of health data in the electronic health record

Transferability of neural network clinical deidentification systems

A systematic comparison of feature space effects on disease classifier performance for phenotype identification of five diseases

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