Similar articles for PMID: 27026615

Year	Number of Results
2012	3
2013	9
2014	7
2015	9
2016	5
2017	12
2018	14
2019	15
2020	12
2021	11
2022	11
2023	5
2024	2

1

PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability.

Kirby JC, Speltz P, Rasmussen LV, Basford M, Gottesman O, Peissig PL, Pacheco JA, Tromp G, Pathak J, Carrell DS, Ellis SB, Lingren T, Thompson WK, Savova G, Haines J, Roden DM, Harris PA, Denny JC. Kirby JC, et al. J Am Med Inform Assoc. 2016 Nov;23(6):1046-1052. doi: 10.1093/jamia/ocv202. Epub 2016 Mar 28. J Am Med Inform Assoc. 2016. PMID: 27026615 Free PMC article.

2

Accuracy of Asthma Computable Phenotypes to Identify Pediatric Asthma at an Academic Institution.

Ross MK, Zheng H, Zhu B, Lao A, Hong H, Natesan A, Radparvar M, Bui AAT. Ross MK, et al. Methods Inf Med. 2020 Dec;59(6):219-226. doi: 10.1055/s-0041-1729951. Epub 2021 Jul 14. Methods Inf Med. 2020. PMID: 34261147 Free PMC article.

3

Design patterns for the development of electronic health record-driven phenotype extraction algorithms.

Rasmussen LV, Thompson WK, Pacheco JA, Kho AN, Carrell DS, Pathak J, Peissig PL, Tromp G, Denny JC, Starren JB. Rasmussen LV, et al. J Biomed Inform. 2014 Oct;51:280-6. doi: 10.1016/j.jbi.2014.06.007. Epub 2014 Jun 21. J Biomed Inform. 2014. PMID: 24960203 Free PMC article.

4

Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitions.

Yu J, Pacheco JA, Ghosh AS, Luo Y, Weng C, Shang N, Benoit B, Carrell DS, Carroll RJ, Dikilitas O, Freimuth RR, Gainer VS, Hakonarson H, Hripcsak G, Kullo IJ, Mentch F, Murphy SN, Peissig PL, Ramirez AH, Walton N, Wei WQ, Rasmussen LV. Yu J, et al. BMC Med Inform Decis Mak. 2022 Jan 28;22(1):23. doi: 10.1186/s12911-022-01759-z. BMC Med Inform Decis Mak. 2022. PMID: 35090449 Free PMC article.

5

PheMap: a multi-resource knowledge base for high-throughput phenotyping within electronic health records.

Zheng NS, Feng Q, Kerchberger VE, Zhao J, Edwards TL, Cox NJ, Stein CM, Roden DM, Denny JC, Wei WQ. Zheng NS, et al. J Am Med Inform Assoc. 2020 Nov 1;27(11):1675-1687. doi: 10.1093/jamia/ocaa104. J Am Med Inform Assoc. 2020. PMID: 32974638 Free PMC article.

6

Evaluating resources composing the PheMAP knowledge base to enhance high-throughput phenotyping.

Wan NC, Yaqoob AA, Ong HH, Zhao J, Wei WQ. Wan NC, et al. J Am Med Inform Assoc. 2023 Feb 16;30(3):456-465. doi: 10.1093/jamia/ocac234. J Am Med Inform Assoc. 2023. PMID: 36451277 Free PMC article.

7

Optimizing research in symptomatic uterine fibroids with development of a computable phenotype for use with electronic health records.

Hoffman SR, Vines AI, Halladay JR, Pfaff E, Schiff L, Westreich D, Sundaresan A, Johnson LS, Nicholson WK. Hoffman SR, et al. Am J Obstet Gynecol. 2018 Jun;218(6):610.e1-610.e7. doi: 10.1016/j.ajog.2018.02.002. Epub 2018 Feb 9. Am J Obstet Gynecol. 2018. PMID: 29432754 Free PMC article.

8

Combining billing codes, clinical notes, and medications from electronic health records provides superior phenotyping performance.

Wei WQ, Teixeira PL, Mo H, Cronin RM, Warner JL, Denny JC. Wei WQ, et al. J Am Med Inform Assoc. 2016 Apr;23(e1):e20-7. doi: 10.1093/jamia/ocv130. Epub 2015 Sep 2. J Am Med Inform Assoc. 2016. PMID: 26338219 Free PMC article.

9

Evaluation of an automated phenotyping algorithm for rheumatoid arthritis.

Zheng HW, Ranganath VK, Perry LC, Chetrit DA, Criner KM, Pham AQ, Seto R, Vangala S, Elashoff DA, Bui AAT. Zheng HW, et al. J Biomed Inform. 2022 Nov;135:104214. doi: 10.1016/j.jbi.2022.104214. Epub 2022 Oct 8. J Biomed Inform. 2022. PMID: 36220544 Free PMC article.

10

Accuracy of phenotyping chronic rhinosinusitis in the electronic health record.

Hsu J, Pacheco JA, Stevens WW, Smith ME, Avila PC. Hsu J, et al. Am J Rhinol Allergy. 2014 Mar-Apr;28(2):140-4. doi: 10.2500/ajra.2014.28.4012. Am J Rhinol Allergy. 2014. PMID: 24717952 Free PMC article.

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