These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
269 related articles for article (PubMed ID: 32968800)
1. The 2019 National Natural language processing (NLP) Clinical Challenges (n2c2)/Open Health NLP (OHNLP) shared task on clinical concept normalization for clinical records. Henry S; Wang Y; Shen F; Uzuner O J Am Med Inform Assoc; 2020 Oct; 27(10):1529-1537. PubMed ID: 32968800 [TBL] [Abstract][Full Text] [Related]
2. The 2019 n2c2/OHNLP Track on Clinical Semantic Textual Similarity: Overview. Wang Y; Fu S; Shen F; Henry S; Uzuner O; Liu H JMIR Med Inform; 2020 Nov; 8(11):e23375. PubMed ID: 33245291 [TBL] [Abstract][Full Text] [Related]
3. 2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records. Henry S; Buchan K; Filannino M; Stubbs A; Uzuner O J Am Med Inform Assoc; 2020 Jan; 27(1):3-12. PubMed ID: 31584655 [TBL] [Abstract][Full Text] [Related]
4. Clinical concept normalization with a hybrid natural language processing system combining multilevel matching and machine learning ranking. Chen L; Fu W; Gu Y; Sun Z; Li H; Li E; Jiang L; Gao Y; Huang Y J Am Med Inform Assoc; 2020 Oct; 27(10):1576-1584. PubMed ID: 33029642 [TBL] [Abstract][Full Text] [Related]
5. Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)-based ranking for concept normalization. Xu D; Gopale M; Zhang J; Brown K; Begoli E; Bethard S J Am Med Inform Assoc; 2020 Oct; 27(10):1510-1519. PubMed ID: 32719838 [TBL] [Abstract][Full Text] [Related]
6. Family History Extraction From Synthetic Clinical Narratives Using Natural Language Processing: Overview and Evaluation of a Challenge Data Set and Solutions for the 2019 National NLP Clinical Challenges (n2c2)/Open Health Natural Language Processing (OHNLP) Competition. Shen F; Liu S; Fu S; Wang Y; Henry S; Uzuner O; Liu H JMIR Med Inform; 2021 Jan; 9(1):e24008. PubMed ID: 33502329 [TBL] [Abstract][Full Text] [Related]
7. Evaluating the state of the art in disorder recognition and normalization of the clinical narrative. Pradhan S; Elhadad N; South BR; Martinez D; Christensen L; Vogel A; Suominen H; Chapman WW; Savova G J Am Med Inform Assoc; 2015 Jan; 22(1):143-54. PubMed ID: 25147248 [TBL] [Abstract][Full Text] [Related]
8. MCN: A comprehensive corpus for medical concept normalization. Luo YF; Sun W; Rumshisky A J Biomed Inform; 2019 Apr; 92():103132. PubMed ID: 30802545 [TBL] [Abstract][Full Text] [Related]
9. Extracting medications and associated adverse drug events using a natural language processing system combining knowledge base and deep learning. Chen L; Gu Y; Ji X; Sun Z; Li H; Gao Y; Huang Y J Am Med Inform Assoc; 2020 Jan; 27(1):56-64. PubMed ID: 31591641 [TBL] [Abstract][Full Text] [Related]
10. Using rule-based natural language processing to improve disease normalization in biomedical text. Kang N; Singh B; Afzal Z; van Mulligen EM; Kors JA J Am Med Inform Assoc; 2013; 20(5):876-81. PubMed ID: 23043124 [TBL] [Abstract][Full Text] [Related]
11. Cohort selection for clinical trials: n2c2 2018 shared task track 1. Stubbs A; Filannino M; Soysal E; Henry S; Uzuner Ö J Am Med Inform Assoc; 2019 Nov; 26(11):1163-1171. PubMed ID: 31562516 [TBL] [Abstract][Full Text] [Related]
12. A simple neural vector space model for medical concept normalization using concept embeddings. Xu D; Miller T J Biomed Inform; 2022 Jun; 130():104080. PubMed ID: 35472514 [TBL] [Abstract][Full Text] [Related]
13. Ambiguity in medical concept normalization: An analysis of types and coverage in electronic health record datasets. Newman-Griffis D; Divita G; Desmet B; Zirikly A; Rosé CP; Fosler-Lussier E J Am Med Inform Assoc; 2021 Mar; 28(3):516-532. PubMed ID: 33319905 [TBL] [Abstract][Full Text] [Related]
14. Predicting Semantic Similarity Between Clinical Sentence Pairs Using Transformer Models: Evaluation and Representational Analysis. Ormerod M; Martínez Del Rincón J; Devereux B JMIR Med Inform; 2021 May; 9(5):e23099. PubMed ID: 34037527 [TBL] [Abstract][Full Text] [Related]
16. Clinical Concept Normalization on Medical Records Using Word Embeddings and Heuristics. Silva JF; Antunes R; Almeida JR; Matos S Stud Health Technol Inform; 2020 Jun; 270():93-97. PubMed ID: 32570353 [TBL] [Abstract][Full Text] [Related]
17. Challenges in clinical natural language processing for automated disorder normalization. Leaman R; Khare R; Lu Z J Biomed Inform; 2015 Oct; 57():28-37. PubMed ID: 26187250 [TBL] [Abstract][Full Text] [Related]
18. Normalizing clinical terms using learned edit distance patterns. Kate RJ J Am Med Inform Assoc; 2016 Mar; 23(2):380-6. PubMed ID: 26232443 [TBL] [Abstract][Full Text] [Related]
19. CUILESS2016: a clinical corpus applying compositional normalization of text mentions. Osborne JD; Neu MB; Danila MI; Solorio T; Bethard SJ J Biomed Semantics; 2018 Jan; 9(1):2. PubMed ID: 29316970 [TBL] [Abstract][Full Text] [Related]
20. A comparison of word embeddings for the biomedical natural language processing. Wang Y; Liu S; Afzal N; Rastegar-Mojarad M; Wang L; Shen F; Kingsbury P; Liu H J Biomed Inform; 2018 Nov; 87():12-20. PubMed ID: 30217670 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]