440 related articles for article (PubMed ID: 22564405)
1. Recognition of medication information from discharge summaries using ensembles of classifiers.
Doan S; Collier N; Xu H; Pham HD; Tu MP
BMC Med Inform Decis Mak; 2012 May; 12():36. PubMed ID: 22564405
[TBL] [Abstract][Full Text] [Related]
2. Recognizing clinical entities in hospital discharge summaries using Structural Support Vector Machines with word representation features.
Tang B; Cao H; Wu Y; Jiang M; Xu H
BMC Med Inform Decis Mak; 2013; 13 Suppl 1(Suppl 1):S1. PubMed ID: 23566040
[TBL] [Abstract][Full Text] [Related]
3. Detecting abbreviations in discharge summaries using machine learning methods.
Wu Y; Rosenbloom ST; Denny JC; Miller RA; Mani S; Giuse DA; Xu H
AMIA Annu Symp Proc; 2011; 2011():1541-9. PubMed ID: 22195219
[TBL] [Abstract][Full Text] [Related]
4. Use of semantic features to classify patient smoking status.
McCormick PJ; Elhadad N; Stetson PD
AMIA Annu Symp Proc; 2008 Nov; 2008():450-4. PubMed ID: 18998969
[TBL] [Abstract][Full Text] [Related]
5. An end-to-end system to identify temporal relation in discharge summaries: 2012 i2b2 challenge.
Xu Y; Wang Y; Liu T; Tsujii J; Chang EI
J Am Med Inform Assoc; 2013; 20(5):849-58. PubMed ID: 23467472
[TBL] [Abstract][Full Text] [Related]
6. Integrating existing natural language processing tools for medication extraction from discharge summaries.
Doan S; Bastarache L; Klimkowski S; Denny JC; Xu H
J Am Med Inform Assoc; 2010; 17(5):528-31. PubMed ID: 20819857
[TBL] [Abstract][Full Text] [Related]
7. A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries.
Jiang M; Chen Y; Liu M; Rosenbloom ST; Mani S; Denny JC; Xu H
J Am Med Inform Assoc; 2011; 18(5):601-6. PubMed ID: 21508414
[TBL] [Abstract][Full Text] [Related]
8. Recognizing Medication related Entities in Hospital Discharge Summaries using Support Vector Machine.
Doan S; Xu H
Proc Int Conf Comput Ling; 2010 Aug; 2010():259-266. PubMed ID: 26848286
[TBL] [Abstract][Full Text] [Related]
9. High accuracy information extraction of medication information from clinical notes: 2009 i2b2 medication extraction challenge.
Patrick J; Li M
J Am Med Inform Assoc; 2010; 17(5):524-7. PubMed ID: 20819856
[TBL] [Abstract][Full Text] [Related]
10. Textractor: a hybrid system for medications and reason for their prescription extraction from clinical text documents.
Meystre SM; Thibault J; Shen S; Hurdle JF; South BR
J Am Med Inform Assoc; 2010; 17(5):559-62. PubMed ID: 20819864
[TBL] [Abstract][Full Text] [Related]
11. Ensembles of natural language processing systems for portable phenotyping solutions.
Liu C; Ta CN; Rogers JR; Li Z; Lee J; Butler AM; Shang N; Kury FSP; Wang L; Shen F; Liu H; Ena L; Friedman C; Weng C
J Biomed Inform; 2019 Dec; 100():103318. PubMed ID: 31655273
[TBL] [Abstract][Full Text] [Related]
12. Ensemble method-based extraction of medication and related information from clinical texts.
Kim Y; Meystre SM
J Am Med Inform Assoc; 2020 Jan; 27(1):31-38. PubMed ID: 31282932
[TBL] [Abstract][Full Text] [Related]
13. Automatic extraction of medication information from medical discharge summaries.
Yang H
J Am Med Inform Assoc; 2010; 17(5):545-8. PubMed ID: 20819861
[TBL] [Abstract][Full Text] [Related]
14. Lancet: a high precision medication event extraction system for clinical text.
Li Z; Liu F; Antieau L; Cao Y; Yu H
J Am Med Inform Assoc; 2010; 17(5):563-7. PubMed ID: 20819865
[TBL] [Abstract][Full Text] [Related]
15. Improving textual medication extraction using combined conditional random fields and rule-based systems.
Tikk D; Solt I
J Am Med Inform Assoc; 2010; 17(5):540-4. PubMed ID: 20819860
[TBL] [Abstract][Full Text] [Related]
16. A comprehensive study of named entity recognition in Chinese clinical text.
Lei J; Tang B; Lu X; Gao K; Jiang M; Xu H
J Am Med Inform Assoc; 2014; 21(5):808-14. PubMed ID: 24347408
[TBL] [Abstract][Full Text] [Related]
17. A study of deep learning approaches for medication and adverse drug event extraction from clinical text.
Wei Q; Ji Z; Li Z; Du J; Wang J; Xu J; Xiang Y; Tiryaki F; Wu S; Zhang Y; Tao C; Xu H
J Am Med Inform Assoc; 2020 Jan; 27(1):13-21. PubMed ID: 31135882
[TBL] [Abstract][Full Text] [Related]
18. Social Reminiscence in Older Adults' Everyday Conversations: Automated Detection Using Natural Language Processing and Machine Learning.
Ferrario A; Demiray B; Yordanova K; Luo M; Martin M
J Med Internet Res; 2020 Sep; 22(9):e19133. PubMed ID: 32866108
[TBL] [Abstract][Full Text] [Related]
19. A la Recherche du Temps Perdu: extracting temporal relations from medical text in the 2012 i2b2 NLP challenge.
Cherry C; Zhu X; Martin J; de Bruijn B
J Am Med Inform Assoc; 2013; 20(5):843-8. PubMed ID: 23523875
[TBL] [Abstract][Full Text] [Related]
20. Information extraction from multi-institutional radiology reports.
Hassanpour S; Langlotz CP
Artif Intell Med; 2016 Jan; 66():29-39. PubMed ID: 26481140
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
