Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 152

1.

Automated extraction of clinical traits of multiple sclerosis in electronic medical records.

Davis MF, Sriram S, Bush WS, Denny JC, Haines JL.

J Am Med Inform Assoc. 2013 Dec;20(e2):e334-40. doi: 10.1136/amiajnl-2013-001999. Epub 2013 Oct 22.

2.

Determining Multiple Sclerosis Phenotype from Electronic Medical Records.

Nelson RE, Butler J, LaFleur J, Knippenberg K, C Kamauu AW, DuVall SL.

J Manag Care Spec Pharm. 2016 Dec;22(12):1377-1382.

3.

Identifying individuals with multiple sclerosis in an electronic medical record.

Krysko KM, Ivers NM, Young J, O'Connor P, Tu K.

Mult Scler. 2015 Feb;21(2):217-24. doi: 10.1177/1352458514538334. Epub 2014 Jun 12.

PMID:
24948683
4.

Modeling disease severity in multiple sclerosis using electronic health records.

Xia Z, Secor E, Chibnik LB, Bove RM, Cheng S, Chitnis T, Cagan A, Gainer VS, Chen PJ, Liao KP, Shaw SY, Ananthakrishnan AN, Szolovits P, Weiner HL, Karlson EW, Murphy SN, Savova GK, Cai T, Churchill SE, Plenge RM, Kohane IS, De Jager PL.

PLoS One. 2013 Nov 11;8(11):e78927. doi: 10.1371/journal.pone.0078927. eCollection 2013.

5.

DEVELOPMENT AND PERFORMANCE OF TEXT-MINING ALGORITHMS TO EXTRACT SOCIOECONOMIC STATUS FROM DE-IDENTIFIED ELECTRONIC HEALTH RECORDS.

Hollister BM, Restrepo NA, Farber-Eger E, Crawford DC, Aldrich MC, Non A.

Pac Symp Biocomput. 2016;22:230-241.

6.

Identifying phenotypic signatures of neuropsychiatric disorders from electronic medical records.

Lyalina S, Percha B, LePendu P, Iyer SV, Altman RB, Shah NH.

J Am Med Inform Assoc. 2013 Dec;20(e2):e297-305. doi: 10.1136/amiajnl-2013-001933. Epub 2013 Aug 16.

7.

Longitudinal analysis of pain in patients with metastatic prostate cancer using natural language processing of medical record text.

Heintzelman NH, Taylor RJ, Simonsen L, Lustig R, Anderko D, Haythornthwaite JA, Childs LC, Bova GS.

J Am Med Inform Assoc. 2013 Sep-Oct;20(5):898-905. doi: 10.1136/amiajnl-2012-001076. Epub 2012 Nov 9.

8.

Extracting timing and status descriptors for colonoscopy testing from electronic medical records.

Denny JC, Peterson JF, Choma NN, Xu H, Miller RA, Bastarache L, Peterson NB.

J Am Med Inform Assoc. 2010 Jul-Aug;17(4):383-8. doi: 10.1136/jamia.2010.004804.

9.

Erratum.

[No authors listed]

Mult Scler. 2016 Oct;22(12):NP9-NP11. Epub 2015 Jun 3.

PMID:
26041800
10.

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. doi: 10.1016/j.jbi.2015.02.009. Epub 2015 Mar 5.

11.

Secondary use of electronic health records for building cohort studies through top-down information extraction.

Kreuzthaler M, Schulz S, Berghold A.

J Biomed Inform. 2015 Feb;53:188-95. doi: 10.1016/j.jbi.2014.10.010. Epub 2014 Nov 21.

12.

Extracting Primary Open-Angle Glaucoma from Electronic Medical Records for Genetic Association Studies.

Restrepo NA, Farber-Eger E, Goodloe R, Haines JL, Crawford DC.

PLoS One. 2015 Jun 10;10(6):e0127817. doi: 10.1371/journal.pone.0127817. eCollection 2015.

13.

Large-scale evaluation of automated clinical note de-identification and its impact on information extraction.

Deleger L, Molnar K, Savova G, Xia F, Lingren T, Li Q, Marsolo K, Jegga A, Kaiser M, Stoutenborough L, Solti I.

J Am Med Inform Assoc. 2013 Jan 1;20(1):84-94. doi: 10.1136/amiajnl-2012-001012. Epub 2012 Aug 2.

14.

Arylsulfatase a gene polymorphisms in relapsing remitting multiple sclerosis: genotype-phenotype correlation and estimation of disease progression.

Baronica KB, Mlinac K, Ozretić D, Vladić A, Bognar SK.

Coll Antropol. 2011 Jan;35 Suppl 1:11-6.

PMID:
21648305
15.

Cancer registry enrichment via linkage with hospital-based electronic medical records: a pilot investigation.

Hernandez MN, Voti L, Feldman JD, Tannenbaum SL, Scharber W, Mackinnon JA, Lee DJ, Huang YX.

J Registry Manag. 2013 Spring;40(1):40-7.

PMID:
23778697
16.

Extracting data from electronic medical records: validation of a natural language processing program to assess prostate biopsy results.

Thomas AA, Zheng C, Jung H, Chang A, Kim B, Gelfond J, Slezak J, Porter K, Jacobsen SJ, Chien GW.

World J Urol. 2014 Feb;32(1):99-103. doi: 10.1007/s00345-013-1040-4. Epub 2013 Feb 17.

PMID:
23417341
17.

Developing and evaluating an automated appendicitis risk stratification algorithm for pediatric patients in the emergency department.

Deleger L, Brodzinski H, Zhai H, Li Q, Lingren T, Kirkendall ES, Alessandrini E, Solti I.

J Am Med Inform Assoc. 2013 Dec;20(e2):e212-20. doi: 10.1136/amiajnl-2013-001962. Epub 2013 Oct 15.

18.

De-identification of primary care electronic medical records free-text data in Ontario, Canada.

Tu K, Klein-Geltink J, Mitiku TF, Mihai C, Martin J.

BMC Med Inform Decis Mak. 2010 Jun 18;10:35. doi: 10.1186/1472-6947-10-35.

19.

Automated identification of drug and food allergies entered using non-standard terminology.

Epstein RH, St Jacques P, Stockin M, Rothman B, Ehrenfeld JM, Denny JC.

J Am Med Inform Assoc. 2013 Sep-Oct;20(5):962-8. doi: 10.1136/amiajnl-2013-001756. Epub 2013 Jun 7.

20.

Comparison of the Kurtkze expanded disability status scale and the functional independence measure: measures of multiple sclerosis-related disability.

Rabadi MH, Vincent AS.

Disabil Rehabil. 2013;35(22):1877-84. doi: 10.3109/09638288.2013.766269. Epub 2013 Apr 19.

PMID:
23600712

Supplemental Content

Support Center