Pacheco J - Search Results

1

Rapid identification of inflammatory arthritis and associated adverse events following immune checkpoint therapy: a machine learning approach.

Tran SD, Lin J, Galvez C, Rasmussen LV, Pacheco J, Perottino GM, Rahbari KJ, Miller CD, John JD, Theros J, Vogel K, Dinh PV, Malik S, Ramzan U, Tegtmeyer K, Mohindra N, Johnson JL, Luo Y, Kho A, Sosman J, Walunas TL. Tran SD, et al. Among authors: pacheco j. Front Immunol. 2024 Mar 15;15:1331959. doi: 10.3389/fimmu.2024.1331959. eCollection 2024. Front Immunol. 2024. PMID: 38558818 Free PMC article.

2

Assessing the Concordance of Clinical Classification Criteria for Lupus Between Electronic Health Records and a Physician Curated Registry.

Walunas TL, Ghosh AS, Pacheco JA, Jackson KL, Chung AH, Erickson DL, Mancera-Cuevas K, Ramsey-Goldman R, Kho AN. Walunas TL, et al. Stud Health Technol Inform. 2019 Aug 21;264:1466-1467. doi: 10.3233/SHTI190487. Stud Health Technol Inform. 2019. PMID: 31438184

3

Identification and assessment of classification criteria attributes for systemic lupus erythematosus in a regional medical record data network.

Forrest N, Jackson KL, Tran S, Pacheco JA, Mitrovic V, Furmanchuk A, Kho AN, Ramsey-Goldman R, Walunas TL. Forrest N, et al. Lupus Sci Med. 2023 Oct;10(2):e000963. doi: 10.1136/lupus-2023-000963. Lupus Sci Med. 2023. PMID: 37857531 Free PMC article.

4

Automatically detecting problem list omissions of type 2 diabetes cases using electronic medical records.

Pacheco JA, Thompson W, Kho A. Pacheco JA, et al. AMIA Annu Symp Proc. 2011;2011:1062-9. Epub 2011 Oct 22. AMIA Annu Symp Proc. 2011. PMID: 22195167 Free PMC article.

5

Evaluation of structured data from electronic health records to identify clinical classification criteria attributes for systemic lupus erythematosus.

Walunas TL, Ghosh AS, Pacheco JA, Mitrovic V, Wu A, Jackson KL, Schusler R, Chung A, Erickson D, Mancera-Cuevas K, Luo Y, Kho AN, Ramsey-Goldman R. Walunas TL, et al. Lupus Sci Med. 2021 Apr;8(1):e000488. doi: 10.1136/lupus-2021-000488. Lupus Sci Med. 2021. PMID: 33903204 Free PMC article.

6

Development of a repository of computable phenotype definitions using the clinical quality language.

Brandt PS, Pacheco JA, Rasmussen LV. Brandt PS, et al. JAMIA Open. 2021 Dec 3;4(4):ooab094. doi: 10.1093/jamiaopen/ooab094. eCollection 2021 Oct. JAMIA Open. 2021. PMID: 34926996 Free PMC article.

7

An evaluation of the NQF Quality Data Model for representing Electronic Health Record driven phenotyping algorithms.

Thompson WK, Rasmussen LV, Pacheco JA, Peissig PL, Denny JC, Kho AN, Miller A, Pathak J. Thompson WK, et al. Among authors: pacheco ja. AMIA Annu Symp Proc. 2012;2012:911-20. Epub 2012 Nov 3. AMIA Annu Symp Proc. 2012. PMID: 23304366 Free PMC article.

8

Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge summaries.

Hong N, Wen A, Stone DJ, Tsuji S, Kingsbury PR, Rasmussen LV, Pacheco JA, Adekkanattu P, Wang F, Luo Y, Pathak J, Liu H, Jiang G. Hong N, et al. Among authors: pacheco ja. J Biomed Inform. 2019 Nov;99:103310. doi: 10.1016/j.jbi.2019.103310. Epub 2019 Oct 14. J Biomed Inform. 2019. PMID: 31622801 Free PMC article.

9

Data-driven discovery of probable Alzheimer's disease and related dementia subphenotypes using electronic health records.

Xu J, Wang F, Xu Z, Adekkanattu P, Brandt P, Jiang G, Kiefer RC, Luo Y, Mao C, Pacheco JA, Rasmussen LV, Zhang Y, Isaacson R, Pathak J. Xu J, et al. Among authors: pacheco ja. Learn Health Syst. 2020 Sep 10;4(4):e10246. doi: 10.1002/lrh2.10246. eCollection 2020 Oct. Learn Health Syst. 2020. PMID: 33083543 Free PMC article.

10

Phenoflow: A Microservice Architecture for Portable Workflow-based Phenotype Definitions.

Chapman M, Rasmussen LV, Pacheco JA, Curcin V. Chapman M, et al. AMIA Jt Summits Transl Sci Proc. 2021 May 17;2021:142-151. eCollection 2021. AMIA Jt Summits Transl Sci Proc. 2021. PMID: 34457128 Free PMC article.

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