85 related articles for article (PubMed ID: 17238741)
1. Concept negation in free text components of vaccine safety reports.
Tolentino H; Matters M; Walop W; Law B; Tong W; Liu F; Fontelo P; Kohl K; Payne D
AMIA Annu Symp Proc; 2006; 2006():1122. PubMed ID: 17238741
[TBL] [Abstract][Full Text] [Related]
2. A UMLS-based spell checker for natural language processing in vaccine safety.
Tolentino HD; Matters MD; Walop W; Law B; Tong W; Liu F; Fontelo P; Kohl K; Payne DC
BMC Med Inform Decis Mak; 2007 Feb; 7():3. PubMed ID: 17295907
[TBL] [Abstract][Full Text] [Related]
3. Implementation and evaluation of a negation tagger in a pipeline-based system for information extract from pathology reports.
Mitchell KJ; Becich MJ; Berman JJ; Chapman WW; Gilbertson J; Gupta D; Harrison J; Legowski E; Crowley RS
Stud Health Technol Inform; 2004; 107(Pt 1):663-7. PubMed ID: 15360896
[TBL] [Abstract][Full Text] [Related]
4. Use of general-purpose negation detection to augment concept indexing of medical documents: a quantitative study using the UMLS.
Mutalik PG; Deshpande A; Nadkarni PM
J Am Med Inform Assoc; 2001; 8(6):598-609. PubMed ID: 11687566
[TBL] [Abstract][Full Text] [Related]
5. Extraction of UMLS® Concepts Using Apache cTAKES™ for German Language.
Becker M; Böckmann B
Stud Health Technol Inform; 2016; 223():71-6. PubMed ID: 27139387
[TBL] [Abstract][Full Text] [Related]
6. A normalized lexical lookup approach to identifying UMLS concepts in free text.
Bashyam V; Divita G; Bennett DB; Browne AC; Taira RK
Stud Health Technol Inform; 2007; 129(Pt 1):545-9. PubMed ID: 17911776
[TBL] [Abstract][Full Text] [Related]
7. UMLS content views appropriate for NLP processing of the biomedical literature vs. clinical text.
Demner-Fushman D; Mork JG; Shooshan SE; Aronson AR
J Biomed Inform; 2010 Aug; 43(4):587-94. PubMed ID: 20152935
[TBL] [Abstract][Full Text] [Related]
8. Development and evaluation of RapTAT: a machine learning system for concept mapping of phrases from medical narratives.
Gobbel GT; Reeves R; Jayaramaraja S; Giuse D; Speroff T; Brown SH; Elkin PL; Matheny ME
J Biomed Inform; 2014 Apr; 48():54-65. PubMed ID: 24316051
[TBL] [Abstract][Full Text] [Related]
9. Comparing natural language processing tools to extract medical problems from narrative text.
Meystre SM; Haug PJ
AMIA Annu Symp Proc; 2005; 2005():525-9. PubMed ID: 16779095
[TBL] [Abstract][Full Text] [Related]
10. UMLS language and vocabulary tools.
Browne AC; Divita G; Aronson AR; McCray AT
AMIA Annu Symp Proc; 2003; 2003():798. PubMed ID: 14728303
[TBL] [Abstract][Full Text] [Related]
11. The interaction of domain knowledge and linguistic structure in natural language processing: interpreting hypernymic propositions in biomedical text.
Rindflesch TC; Fiszman M
J Biomed Inform; 2003 Dec; 36(6):462-77. PubMed ID: 14759819
[TBL] [Abstract][Full Text] [Related]
12. Evaluation of negation phrases in narrative clinical reports.
Chapman WW; Bridewell W; Hanbury P; Cooper GF; Buchanan BG
Proc AMIA Symp; 2001; ():105-9. PubMed ID: 11825163
[TBL] [Abstract][Full Text] [Related]
13. Evaluation of Medical Problem Extraction from Electronic Clinical Documents Using MetaMap Transfer (MMTx).
Meystre S; Haug PJ
Stud Health Technol Inform; 2005; 116():823-8. PubMed ID: 16160360
[TBL] [Abstract][Full Text] [Related]
14. Bottom-Up Natural Language Processing Based Evaluation of the Fitness of UMLS as a Semantic Source for a Computer Interpretable Guidelines Ontology.
Despotou G; Korkontzelos I; Arvanitis TN
Stud Health Technol Inform; 2022 Jun; 290():1060-1061. PubMed ID: 35673205
[TBL] [Abstract][Full Text] [Related]
15. UMLS knowledge for biomedical language processing.
McCray AT; Aronson AR; Browne AC; Rindflesch TC; Razi A; Srinivasan S
Bull Med Libr Assoc; 1993 Apr; 81(2):184-94. PubMed ID: 8472004
[TBL] [Abstract][Full Text] [Related]
16. Extracting cancer concepts from clinical notes using natural language processing: a systematic review.
Gholipour M; Khajouei R; Amiri P; Hajesmaeel Gohari S; Ahmadian L
BMC Bioinformatics; 2023 Oct; 24(1):405. PubMed ID: 37898795
[TBL] [Abstract][Full Text] [Related]
17. Identifying QT prolongation from ECG impressions using natural language processing and negation detection.
Denny JC; Peterson JF
Stud Health Technol Inform; 2007; 129(Pt 2):1283-8. PubMed ID: 17911921
[TBL] [Abstract][Full Text] [Related]
18. Can Natural Language Processing Improve the Efficiency of Vaccine Adverse Event Report Review?
Baer B; Nguyen M; Woo EJ; Winiecki S; Scott J; Martin D; Botsis T; Ball R
Methods Inf Med; 2016; 55(2):144-50. PubMed ID: 26394725
[TBL] [Abstract][Full Text] [Related]
19. Inventory of tools for Dutch clinical language processing.
Cornet R; Van Eldik A; De Keizer N
Stud Health Technol Inform; 2012; 180():245-9. PubMed ID: 22874189
[TBL] [Abstract][Full Text] [Related]
20. Improved identification of noun phrases in clinical radiology reports using a high-performance statistical natural language parser augmented with the UMLS specialist lexicon.
Huang Y; Lowe HJ; Klein D; Cucina RJ
J Am Med Inform Assoc; 2005; 12(3):275-85. PubMed ID: 15684131
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]