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A clinically applicable approach to continuous prediction of future acute kidney injury

Nature (London), 2019-08, Vol.572 (7767), p.116-119

2019

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Adaptation of an NLP system to a new healthcare environment to identify social determinants of health

Journal of biomedical informatics, 2021-08, Vol.120, p.103851-103851, Article 103851

2021

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Suicide theory-guided natural language processing of clinical progress notes to improve prediction of veteran suicide risk: protocol for a mixed-method study

BMJ open, 2022-08, Vol.12 (8), p.e065088

2022

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Use of noisy labels as weak learners to identify incompletely ascertainable outcomes: A Feasibility study with opioid-induced respiratory depression

Heliyon, 2024-03, Vol.10 (5), p.e26434-e26434, Article e26434

2024

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DETERMINING POST-TEST RISK IN A SAMPLE OF STRESS NUCLEAR MYOCARDIAL PERFUSION IMAGING REPORTS: IMPLICATIONS FOR NATURAL LANGUAGE PROCESSING

Journal of the American College of Cardiology, 2018-03, Vol.71 (11), p.A1501-A1501

2018

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Development of a 3-Step theory of suicide ontology to facilitate 3ST factor extraction from clinical progress notes

Journal of biomedical informatics, 2024-02, Vol.150, p.104582, Article 104582

2024

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Information Extraction From Electronic Health Records to Predict Readmission Following Acute Myocardial Infarction: Does Natural Language Processing Using Clinical Notes Improve Prediction of Readmission?

Journal of the American Heart Association, 2022-04, Vol.11 (7), p.e024198-e024198

2022

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Representing and utilizing clinical textual data for real world studies: An OHDSI approach

Journal of biomedical informatics, 2023-06, Vol.142, p.104343-104343, Article 104343

2023

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Exploring the Frontier of Electronic Health Record Surveillance: The Case of Postoperative Complications

Medical care, 2013-06, Vol.51 (6), p.509-516

2013

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Leveraging structured and unstructured electronic health record data to detect reasons for suboptimal statin therapy use in patients with atherosclerotic cardiovascular disease

American journal of preventive cardiology, 2022-03, Vol.9, p.100300-100300, Article 100300

2022

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Determining post-test risk in a national sample of stress nuclear myocardial perfusion imaging reports: Implications for natural language processing tools

Journal of nuclear cardiology, 2019-12, Vol.26 (6), p.1878-1885

2019

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Enhancing Postmarketing Surveillance of Medical Products With Large Language Models

JAMA network open, 2024-08, Vol.7 (8), p.e2428276

2024

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Prevalence and Risk Factors for Opioid-Induced Constipation in an Older National Veteran Cohort

Pain research & management, 2020, Vol.2020 (2020), p.1-11

2020

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Detecting temporal expressions in medical narratives

International journal of medical informatics (Shannon, Ireland), 2013-02, Vol.82 (2), p.118-127

2013

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How might we write about (the) human factor(s)?

Proceedings of the International Symposium of Human Factors and Ergonomics in Healthcare, 2024-06, Vol.13 (1), p.181-185

2024

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Evaluation of cardiovascular risk related to a monoclonal antibody mediated increase in vascular endothelial growth factor in conscious normal rats

Journal of pharmacological and toxicological methods, 2019-09, Vol.99, p.106595, Article 106595

2019

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Who said it? Establishing professional attribution among authors of Veterans' Electronic Health Records

AMIA ... Annual Symposium proceedings, 2012, Vol.2012, p.753-762

2012

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COVID-19 TestNorm: A tool to normalize COVID-19 testing names to LOINC codes

Journal of the American Medical Informatics Association : JAMIA, 2020-09, Vol.27 (9), p.1437-1442

2020

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Assisted annotation of medical free text using RapTAT

Journal of the American Medical Informatics Association : JAMIA, 2014-09, Vol.21 (5), p.833-841

2014

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Standardizing Multi-site Clinical Note Titles to LOINC Document Ontology: A Transformer-based Approach

AMIA ... Annual Symposium proceedings, 2023, Vol.2023, p.834-843

2023

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Normalizing Clinical Document Titles to LOINC Document Ontology: an Initial Study

AMIA ... Annual Symposium proceedings, 2020, Vol.2020, p.1441-1450

2020

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Development and evaluation of RapTAT: A machine learning system for concept mapping of phrases from medical narratives

Journal of biomedical informatics, 2014-04, Vol.48, p.54-65

2014

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Automating Quality Measures for Heart Failure Using Natural Language Processing: A Descriptive Study in the Department of Veterans Affairs

JMIR medical informatics, 2018-01, Vol.6 (1), p.e5-e5

2018

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Entertaining an Identity: An Artistic Approach

PsycCritiques, 2005-03, Vol.50 (10), p.No Pagination Specified-No Pagination Specified

2005

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A clinically applicable approach to continuous prediction of future acute kidney injury

Adaptation of an NLP system to a new healthcare environment to identify social determinants of health

Suicide theory-guided natural language processing of clinical progress notes to improve prediction of veteran suicide risk: protocol for a mixed-method study

Use of noisy labels as weak learners to identify incompletely ascertainable outcomes: A Feasibility study with opioid-induced respiratory depression

DETERMINING POST-TEST RISK IN A SAMPLE OF STRESS NUCLEAR MYOCARDIAL PERFUSION IMAGING REPORTS: IMPLICATIONS FOR NATURAL LANGUAGE PROCESSING

Development of a 3-Step theory of suicide ontology to facilitate 3ST factor extraction from clinical progress notes

Information Extraction From Electronic Health Records to Predict Readmission Following Acute Myocardial Infarction: Does Natural Language Processing Using Clinical Notes Improve Prediction of Readmission?

Representing and utilizing clinical textual data for real world studies: An OHDSI approach

Exploring the Frontier of Electronic Health Record Surveillance: The Case of Postoperative Complications

Leveraging structured and unstructured electronic health record data to detect reasons for suboptimal statin therapy use in patients with atherosclerotic cardiovascular disease

Determining post-test risk in a national sample of stress nuclear myocardial perfusion imaging reports: Implications for natural language processing tools

Enhancing Postmarketing Surveillance of Medical Products With Large Language Models

Prevalence and Risk Factors for Opioid-Induced Constipation in an Older National Veteran Cohort

Detecting temporal expressions in medical narratives

How might we write about (the) human factor(s)?

Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records

Evaluation of cardiovascular risk related to a monoclonal antibody mediated increase in vascular endothelial growth factor in conscious normal rats

Who said it? Establishing professional attribution among authors of Veterans' Electronic Health Records

COVID-19 TestNorm: A tool to normalize COVID-19 testing names to LOINC codes

Assisted annotation of medical free text using RapTAT

Standardizing Multi-site Clinical Note Titles to LOINC Document Ontology: A Transformer-based Approach

Normalizing Clinical Document Titles to LOINC Document Ontology: an Initial Study

Development and evaluation of RapTAT: A machine learning system for concept mapping of phrases from medical narratives

Automating Quality Measures for Heart Failure Using Natural Language Processing: A Descriptive Study in the Department of Veterans Affairs

Entertaining an Identity: An Artistic Approach

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