167 related articles for article (PubMed ID: 24431336)
21. Is the Juice Worth the Squeeze? Costs and Benefits of Multiple Human Annotators for Clinical Text De-identification.
Carrell DS; Cronkite DJ; Malin BA; Aberdeen JS; Hirschman L
Methods Inf Med; 2016 Aug; 55(4):356-64. PubMed ID: 27405787
[TBL] [Abstract][Full Text] [Related]
22. SemClinBr - a multi-institutional and multi-specialty semantically annotated corpus for Portuguese clinical NLP tasks.
Oliveira LESE; Peters AC; da Silva AMP; Gebeluca CP; Gumiel YB; Cintho LMM; Carvalho DR; Al Hasan S; Moro CMC
J Biomed Semantics; 2022 May; 13(1):13. PubMed ID: 35527259
[TBL] [Abstract][Full Text] [Related]
23. PhenoDEF: a corpus for annotating sentences with information of phenotype definitions in biomedical literature.
Binkheder S; Wu HY; Quinney SK; Zhang S; Zitu MM; Chiang CW; Wang L; Jones J; Li L
J Biomed Semantics; 2022 Jun; 13(1):17. PubMed ID: 35690873
[TBL] [Abstract][Full Text] [Related]
24. Impact of Professional Background on Inter-Annotator Variability and Accuracy During Annotation of Clinical Notes.
Weishäupl K; Schuster M; Mayrl C; Humberger D; Hoffstädter A; Fischer T; Punz-Reidlinger B; Wiesmüller F; Lauschensky A; Hayn D; Kreiner K; Fetz B; Brunelli L; Poelzl G; Pfeifer B; Slamanig G; Neururer SB; Schreier G
Stud Health Technol Inform; 2023 May; 301():248-253. PubMed ID: 37172189
[TBL] [Abstract][Full Text] [Related]
25. RysannMD: A biomedical semantic annotator balancing speed and accuracy.
Cuzzola J; Jovanović J; Bagheri E
J Biomed Inform; 2017 Jul; 71():91-109. PubMed ID: 28552401
[TBL] [Abstract][Full Text] [Related]
26. Regular expression-based learning to extract bodyweight values from clinical notes.
Murtaugh MA; Gibson BS; Redd D; Zeng-Treitler Q
J Biomed Inform; 2015 Apr; 54():186-90. PubMed ID: 25746391
[TBL] [Abstract][Full Text] [Related]
27. Anaphoric relations in the clinical narrative: corpus creation.
Savova GK; Chapman WW; Zheng J; Crowley RS
J Am Med Inform Assoc; 2011; 18(4):459-65. PubMed ID: 21459927
[TBL] [Abstract][Full Text] [Related]
28. Classification of Clinical Notes from a Heart Failure Telehealth Network.
Wiesmüller F; Lauschenski A; Baumgartner M; Hayn D; Kreiner K; Fetz B; Brunelli L; Pölzl G; Pfeifer B; Neururer S; Schreier G
Stud Health Technol Inform; 2023 May; 302():803-807. PubMed ID: 37203499
[TBL] [Abstract][Full Text] [Related]
29. Accelerating the annotation of sparse named entities by dynamic sentence selection.
Tsuruoka Y; Tsujii J; Ananiadou S
BMC Bioinformatics; 2008 Nov; 9 Suppl 11(Suppl 11):S8. PubMed ID: 19025694
[TBL] [Abstract][Full Text] [Related]
30. New directions in biomedical text annotation: definitions, guidelines and corpus construction.
Wilbur WJ; Rzhetsky A; Shatkay H
BMC Bioinformatics; 2006 Jul; 7():356. PubMed ID: 16867190
[TBL] [Abstract][Full Text] [Related]
31. Annotating risk factors for heart disease in clinical narratives for diabetic patients.
Stubbs A; Uzuner Ö
J Biomed Inform; 2015 Dec; 58 Suppl(Suppl):S78-S91. PubMed ID: 26004790
[TBL] [Abstract][Full Text] [Related]
32. RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning.
Philbrick KA; Weston AD; Akkus Z; Kline TL; Korfiatis P; Sakinis T; Kostandy P; Boonrod A; Zeinoddini A; Takahashi N; Erickson BJ
J Digit Imaging; 2019 Aug; 32(4):571-581. PubMed ID: 31089974
[TBL] [Abstract][Full Text] [Related]
33. Part-of-speech tagging for clinical text: wall or bridge between institutions?
Fan JW; Prasad R; Yabut RM; Loomis RM; Zisook DS; Mattison JE; Huang Y
AMIA Annu Symp Proc; 2011; 2011():382-91. PubMed ID: 22195091
[TBL] [Abstract][Full Text] [Related]
34. Annotating temporal information in clinical narratives.
Sun W; Rumshisky A; Uzuner O
J Biomed Inform; 2013 Dec; 46 Suppl(0):S5-S12. PubMed ID: 23872518
[TBL] [Abstract][Full Text] [Related]
35. Inductive creation of an annotation schema for manually indexing clinical conditions from emergency department reports.
Chapman WW; Dowling JN
J Biomed Inform; 2006 Apr; 39(2):196-208. PubMed ID: 16230050
[TBL] [Abstract][Full Text] [Related]
36. The OpenDeID corpus for patient de-identification.
Jonnagaddala J; Chen A; Batongbacal S; Nekkantti C
Sci Rep; 2021 Oct; 11(1):19973. PubMed ID: 34620985
[TBL] [Abstract][Full Text] [Related]
37. Task definition, annotated dataset, and supervised natural language processing models for symptom extraction from unstructured clinical notes.
Steinkamp JM; Bala W; Sharma A; Kantrowitz JJ
J Biomed Inform; 2020 Feb; 102():103354. PubMed ID: 31838210
[TBL] [Abstract][Full Text] [Related]
38. Mapping annotations with textual evidence using an scLDA model.
Jin B; Chen V; Chen L; Lu X
AMIA Annu Symp Proc; 2011; 2011():834-42. PubMed ID: 22195141
[TBL] [Abstract][Full Text] [Related]
39. Marky: a tool supporting annotation consistency in multi-user and iterative document annotation projects.
Pérez-Pérez M; Glez-Peña D; Fdez-Riverola F; Lourenço A
Comput Methods Programs Biomed; 2015 Feb; 118(2):242-51. PubMed ID: 25480679
[TBL] [Abstract][Full Text] [Related]
40. Generation of silver standard concept annotations from biomedical texts with special relevance to phenotypes.
Oellrich A; Collier N; Smedley D; Groza T
PLoS One; 2015; 10(1):e0116040. PubMed ID: 25607983
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]