Medical Nlp Challenge 2007

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Multi-topic Aspects in Clinical Text Classification - IEEE …

https://ieeexplore.ieee.org/document/4413038/

Experimental results show that the characteristics of multi-topic assignments in the Medical NLP Challenge data is OTA-oriented. ... Article #: Date of Conference: 02 …

From Indexing the Biomedical Literature to Coding …

https://lhncbc.nlm.nih.gov/ii/information/Papers/pub2007040.pdf

Evaluated in the context of a Medical NLP Challenge, fusion produced an F-score of 0.85 on the Challenge test set, which is considerably above the mean Challenge F-score of …

LitCoin Natural Language Processing (NLP) Challenge

https://ncats.nih.gov/funding/challenges/litcoin

(PDF) Multi-topic Aspects in Clinical Text Classification.

https://www.researchgate.net/publication/221204356_Multi-topic_Aspects_in_Clinical_Text_Classification

The CMC Medical NLP Challenge 2007 Data Set 2. is the data set used in the shared task of the Medical NLP. Challenge 2007. In total, the number of ICD-9-CM …

Competitions and Challenges - ACL Wiki - Association …

https://aclweb.org/aclwiki/Competitions_and_Challenges

CLEANEVAL 2007 - Cleaning pages for Web corpus creation; CLEF 2007 - Cross Language Evaluation Forum; DUC-2007 - Document Understanding Conference (task: Text …

Overcoming barriers to NLP for clinical text: the role of …

https://academic.oup.com/jamia/article/18/5/540/829390

Shared tasks in the clinical domain are recent and include annual i2b2 Challenges that began in 2006, a challenge for multi-label classification of radiology …

NLM Medical Text Indexer: A Tool for Automatic and …

https://lhncbc.nlm.nih.gov/LHC-publications/PDF/tr2008002.pdf

a medical NLP challenge for assigning International Classification of Diseases (ICD) codes to radiology reports, which required tuning MTI to process clinical text; and • assisted …

Natural language processing in medicine: A review

https://www.sciencedirect.com/science/article/pii/S2210844021000411

NLP is a useful tool when measuring a definitive and acute outcome, however the challenge arises when analysing less categorical outcomes. For example in chronic …

Extracting medications and associated adverse drug …

https://pubmed.ncbi.nlm.nih.gov/31591641/

Objective: Detecting adverse drug events (ADEs) and medications related information in clinical notes is important for both hospital medical care and medical …

National NLP Clinical Challenges (n2c2) - Harvard University

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

Participants 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 …

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