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Similar articles for PubMed (Select 23920650)

1.

Improving patients' electronic health record comprehension with NoteAid.

Polepalli Ramesh B, Houston T, Brandt C, Fang H, Yu H.

Stud Health Technol Inform. 2013;192:714-8.

PMID:
23920650
2.

Making texts in electronic health records comprehensible to consumers: a prototype translator.

Zeng-Treitler Q, Goryachev S, Kim H, Keselman A, Rosendale D.

AMIA Annu Symp Proc. 2007 Oct 11:846-50.

3.
4.

Use of consumer health vocabularies in online physician directory to improve physician search.

Hong Y, Gillis RD, Donnell RF.

AMIA Annu Symp Proc. 2008 Nov 6:974.

PMID:
18998819
5.

Can multilingual machine translation help make medical record content more comprehensible to patients?

Zeng-Treitler Q, Kim H, Rosemblat G, Keselman A.

Stud Health Technol Inform. 2010;160(Pt 1):73-7.

PMID:
20841653
6.

Applying multiple methods to assess the readability of a large corpus of medical documents.

Wu DT, Hanauer DA, Mei Q, Clark PM, An LC, Lei J, Proulx J, Zeng-Treitler Q, Zheng K.

Stud Health Technol Inform. 2013;192:647-51.

PMID:
23920636
7.
8.

Inventory of tools for Dutch clinical language processing.

Cornet R, Van Eldik A, De Keizer N.

Stud Health Technol Inform. 2012;180:245-9.

PMID:
22874189
9.

Redundancy in electronic health record corpora: analysis, impact on text mining performance and mitigation strategies.

Cohen R, Elhadad M, Elhadad N.

BMC Bioinformatics. 2013 Jan 16;14:10. doi: 10.1186/1471-2105-14-10.

10.

Normalization and standardization of electronic health records for high-throughput phenotyping: the SHARPn consortium.

Pathak J, Bailey KR, Beebe CE, Bethard S, Carrell DC, Chen PJ, Dligach D, Endle CM, Hart LA, Haug PJ, Huff SM, Kaggal VC, Li D, Liu H, Marchant K, Masanz J, Miller T, Oniki TA, Palmer M, Peterson KJ, Rea S, Savova GK, Stancl CR, Sohn S, Solbrig HR, Suesse DB, Tao C, Taylor DP, Westberg L, Wu S, Zhuo N, Chute CG.

J Am Med Inform Assoc. 2013 Dec;20(e2):e341-8. doi: 10.1136/amiajnl-2013-001939. Epub 2013 Nov 4.

11.

Text characteristics of clinical reports and their implications for the readability of personal health records.

Zeng-Treitler Q, Kim H, Goryachev S, Keselman A, Slaughter L, Smith CA.

Stud Health Technol Inform. 2007;129(Pt 2):1117-21.

PMID:
17911889
12.

Beyond surface characteristics: a new health text-specific readability measurement.

Kim H, Goryachev S, Rosemblat G, Browne A, Keselman A, Zeng-Treitler Q.

AMIA Annu Symp Proc. 2007 Oct 11:418-22.

14.

A comparative study on concept representation between the UMLS and the clinical terms in Korean medical records.

Han SB, Kwak M, Kim S, Yoo S, Park H, Kijoo J, Kim J, Choi M, Choi J.

Stud Health Technol Inform. 2004;107(Pt 1):616-20.

PMID:
15360886
15.

Towards consumer-friendly PHRs: patients' experience with reviewing their health records.

Keselman A, Slaughter L, Smith CA, Kim H, Divita G, Browne A, Tsai C, Zeng-Treitler Q.

AMIA Annu Symp Proc. 2007 Oct 11:399-403.

16.

Development and evaluation of an ensemble resource linking medications to their indications.

Wei WQ, Cronin RM, Xu H, Lasko TA, Bastarache L, Denny JC.

J Am Med Inform Assoc. 2013 Sep-Oct;20(5):954-61. doi: 10.1136/amiajnl-2012-001431. Epub 2013 Apr 10.

17.

UMLS-based access to CPR data. Unified Medical Language Systems.

van Mulligen EM.

Int J Med Inform. 1999 Feb-Mar;53(2-3):125-31.

PMID:
10193882
18.

Automatic acquisition of synonyms from French UMLS for enhanced search of EHRs.

Grabar N, Varoutas PC, Rizand P, Livartowski A, Hamon T.

Stud Health Technol Inform. 2008;136:809-14.

PMID:
18487831
19.

Design and implementation of a personal medication record-MyMedicationList.

Zeng K, Bodenreider O, Nelson SJ.

AMIA Annu Symp Proc. 2008 Nov 6:844-8.

20.

Navigating longitudinal clinical notes with an automated method for detecting new information.

Zhang R, Pakhomov S, Lee JT, Melton GB.

Stud Health Technol Inform. 2013;192:754-8.

PMID:
23920658
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