Lasko T - Search Results

1

Predicting changes in hypertension control using electronic health records from a chronic disease management program.

Sun J, McNaughton CD, Zhang P, Perer A, Gkoulalas-Divanis A, Denny JC, Kirby J, Lasko T, Saip A, Malin BA. Sun J, et al. Among authors: lasko t. J Am Med Inform Assoc. 2014 Mar-Apr;21(2):337-44. doi: 10.1136/amiajnl-2013-002033. Epub 2013 Sep 17. J Am Med Inform Assoc. 2014. PMID: 24045907 Free PMC article.

2

Portability of an algorithm to identify rheumatoid arthritis in electronic health records.

Carroll RJ, Thompson WK, Eyler AE, Mandelin AM, Cai T, Zink RM, Pacheco JA, Boomershine CS, Lasko TA, Xu H, Karlson EW, Perez RG, Gainer VS, Murphy SN, Ruderman EM, Pope RM, Plenge RM, Kho AN, Liao KP, Denny JC. Carroll RJ, et al. Among authors: lasko ta. J Am Med Inform Assoc. 2012 Jun;19(e1):e162-9. doi: 10.1136/amiajnl-2011-000583. Epub 2012 Feb 28. J Am Med Inform Assoc. 2012. PMID: 22374935 Free PMC article.

3

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

Wei WQ, Cronin RM, Xu H, Lasko TA, Bastarache L, Denny JC. Wei WQ, et al. J Am Med Inform Assoc. 2013 Sep-Oct;20(5):954-61. doi: 10.1136/amiajnl-2012-001431. Epub 2013 Apr 10. J Am Med Inform Assoc. 2013. PMID: 23576672 Free PMC article.

4

Computational phenotype discovery using unsupervised feature learning over noisy, sparse, and irregular clinical data.

Lasko TA, Denny JC, Levy MA. Lasko TA, et al. PLoS One. 2013 Jun 24;8(6):e66341. doi: 10.1371/journal.pone.0066341. Print 2013. PLoS One. 2013. PMID: 23826094 Free PMC article.

5

Scalable Data-driven Phenotypes via Unsupervised Feature Learning.

Lasko TA, Denny JC, Levy MA. Lasko TA, et al. AMIA Jt Summits Transl Sci Proc. 2013 Mar 18;2013:106. eCollection 2013. AMIA Jt Summits Transl Sci Proc. 2013. PMID: 24303314

6

Development of an ensemble resource linking MEDications to their Indications (MEDI).

Wei WQ, Cronin RM, Xu H, Lasko TA, Bastarache L, Denny JC. Wei WQ, et al. AMIA Jt Summits Transl Sci Proc. 2013 Mar 18;2013:172. eCollection 2013. AMIA Jt Summits Transl Sci Proc. 2013. PMID: 24303333

7

A study of active learning methods for named entity recognition in clinical text.

Chen Y, Lasko TA, Mei Q, Denny JC, Xu H. Chen Y, et al. J Biomed Inform. 2015 Dec;58:11-18. doi: 10.1016/j.jbi.2015.09.010. Epub 2015 Sep 15. J Biomed Inform. 2015. PMID: 26385377 Free PMC article.

8

Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals.

Teixeira PL, Wei WQ, Cronin RM, Mo H, VanHouten JP, Carroll RJ, LaRose E, Bastarache LA, Rosenbloom ST, Edwards TL, Roden DM, Lasko TA, Dart RA, Nikolai AM, Peissig PL, Denny JC. Teixeira PL, et al. J Am Med Inform Assoc. 2017 Jan;24(1):162-171. doi: 10.1093/jamia/ocw071. Epub 2016 Aug 7. J Am Med Inform Assoc. 2017. PMID: 27497800 Free PMC article.

9

Benefits and Risks of Machine Learning Decision Support Systems.

Lasko TA, Walsh CG, Malin B. Lasko TA, et al. JAMA. 2017 Dec 19;318(23):2355. doi: 10.1001/jama.2017.16623. JAMA. 2017. PMID: 29260218 No abstract available.

10

Cost-aware active learning for named entity recognition in clinical text.

Wei Q, Chen Y, Salimi M, Denny JC, Mei Q, Lasko TA, Chen Q, Wu S, Franklin A, Cohen T, Xu H. Wei Q, et al. Among authors: lasko ta. J Am Med Inform Assoc. 2019 Nov 1;26(11):1314-1322. doi: 10.1093/jamia/ocz102. J Am Med Inform Assoc. 2019. PMID: 31294792 Free PMC article.

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