N2c2.dbmi.hms.harvard.edu

National NLP Clinical Challenges (n2c2)

WEBParticipants in the 2022 n2c2 Challenges in Natural Language Processing for Clinical Data were invited to the workshop at the Washington Hilton Hotel in DC in November. It was …

Actived: 4 days ago

URL: https://n2c2.dbmi.hms.harvard.edu/

Data Sets National NLP Clinical Challenges (n2c2)

WEBThe n2c2 data sets are provided as a community service. They consist of fully deidentified clinical notes and products of challenges. They are freely available for the research …

Category:  Health Go Health

Automatic detection of protected health information from clinic

WEBYang H, Garibaldi JM. Automatic detection of protected health information from clinic narratives [Internet]. Journal of Biomedical Informatics 2015;58(Supplement):S30-S38.

Category:  Medical Go Health

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

WEBStubbs A, Filannino M, Soysal E, Henry S, Uzuner Ö. Cohort selection for clinical trials: n2c2 2018 shared task track 1 [Internet]. Journal of the American Medical …

Category:  Medical Go Health

Learning to identify Protected Health Information by integrating

WEBDehghan A, Kovacevic A, Karystianis G, Keane JA, Nenadic G. Learning to identify Protected Health Information by integrating knowledge- and data-driven algorithms: A …

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Adverse drug events and medication relation extraction in …

WEBChristopoulou F, Tran TT, Sahu SK, Miwa M, Ananiadou S. Adverse drug events and medication relation extraction in electronic health records with ensemble deep learning …

Category:  Health Go Health

Publications National NLP Clinical Challenges (n2c2)

WEBContinuing the legacy of the i2b2 NLP Shared Tasks

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Track 3 National NLP Clinical Challenges (n2c2)

WEBThe Subjective, Objective, Assessment and Plan (SOAP) format is ubiquitous and an essential component in medical training to properly document care in the daily progress …

Category:  Medical Go Health

An investigation of single-domain and multidomain medication …

WEBLi F, Yu H. An investigation of single-domain and multidomain medication and adverse drug event relation extraction from electronic health record notes using advanced deep …

Category:  Health Go Health

Track 2 National NLP Clinical Challenges (n2c2)

WEBDescription. Social determinants of health (SDOH) are the conditions in which people live that affect quality-of-life and health outcomes [1]. SDOH include a wide range of …

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Track 1 National NLP Clinical Challenges (n2c2)

WEBThis task was previously tackled in the BioCreative/OHNLP 2018 ClinicalSTS task [3]. The 2019 n2c2/OHNLP shared task Track on Clinical Semantic Textual Similarity …

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2018 n2c2 shared task on adverse drug events and medication …

WEBHenry S, Buchan K, Filannino M, Stubbs A, Uzuner Ö. 2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records [Internet]. …

Category:  Health Go Health

AMIA Workshop National NLP Clinical Challenges (n2c2)

WEBThis year, National NLP Clinical Challenges (n2c2, formerly known as i2b2 NLP Shared Tasks) workshop will bring you three tasks: Track 1: Contextualized Medication Event …

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2022 Challenge National NLP Clinical Challenges (n2c2)

WEB2022 n2c2 Shared Task and Workshop Announcement and Call for Participation We are pleased to announce the 2022 n2c2 Shared Task on Challenges in Natural Language …

Category:  Health Go Health

2019 Challenge National NLP Clinical Challenges (n2c2)

WEB2019 n2c2/OHNLP Shared-Task and Workshop Announcement and Call for Participation We are pleased to announce the 2019 n2c2/OHNLP Shared Task on Challenges in …

Category:  Health Go Health

2018 (2 Tracks) National NLP Clinical Challenges (n2c2)

WEBContinuing the legacy of the i2b2 NLP Shared Tasks

Category:  Health Go Health

MIMIC DUA Sample

WEBPhysioNet Credentialed Health Data Use Agreement 1.5.0 Data Use Agreement for the MIMIC-111 Clinical Database (VI.4) If I am granted access to the database: 1. I will not …

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Coronary artery disease risk assessment from unstructured …

WEBJonnagaddala J, Liaw S-T, Ray P, Kumar M, Chang N-W, Dai H-J. Coronary artery disease risk assessment from unstructured electronic health records using text mining [Internet]. …

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