This paper is in the following e-collection/theme issue:

Decision Support for Health Professionals (1479) Clinical Informatics (1265) Clinical Information and Decision Making (1823) Electronic Health Records (1276) Secondary Use of Clinical Data for Research and Surveillance (456) Tools, Programs and Algorithms (362)

Published on in Vol 8, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18542, first published .
Model-Based Algorithms for Detecting Peripheral Artery Disease Using Administrative Data From an Electronic Health Record Data System: Algorithm Development Study

Model-Based Algorithms for Detecting Peripheral Artery Disease Using Administrative Data From an Electronic Health Record Data System: Algorithm Development Study

Model-Based Algorithms for Detecting Peripheral Artery Disease Using Administrative Data From an Electronic Health Record Data System: Algorithm Development Study

Authors of this article:

Elizabeth Hope Weissler1 Author Orcid Image ;   Steven J Lippmann2 Author Orcid Image ;   Michelle M Smerek2 Author Orcid Image ;   Rachael A Ward3 Author Orcid Image ;   Aman Kansal3 Author Orcid Image ;   Adam Brock3 ;   Robert C Sullivan3 Author Orcid Image ;   Chandler Long1 Author Orcid Image ;   Manesh R Patel2, 3, 4 Author Orcid Image ;   Melissa A Greiner2 Author Orcid Image ;   N Chantelle Hardy2 Author Orcid Image ;   Lesley H Curtis2, 4 Author Orcid Image ;   W Schuyler Jones2, 3, 4 Author Orcid Image
Article Authors Cited by (17) Tweetations (5) Metrics

Journals

  1. Bunte M, Baron S. Reading the Digital Tea Leaves. Circulation: Cardiovascular Interventions 2020;13(10) View
  2. Weissler E, Zhang J, Lippmann S, Rusincovitch S, Henao R, Jones W. Use of Natural Language Processing to Improve Identification of Patients With Peripheral Artery Disease. Circulation: Cardiovascular Interventions 2020;13(10) View
  3. Narcisse D, Ford C, Weissler E, Lippmann S, Smerek M, Greiner M, Hardy N, O'Brien B, Sullivan R, Brock A, Long C, Curtis L, Patel M, Jones W. The association of healthcare disparities and patient-specific factors on clinical outcomes in peripheral artery disease. American Heart Journal 2021;239:135 View
  4. Weissler E, Ford C, Narcisse D, Lippmann S, Smerek M, Greiner M, Hardy N, O'Brien B, Sullivan R, Brock A, Long C, Curtis L, Patel M, Jones W. Clinician Specialty, Access to Care, and Outcomes Among Patients with Peripheral Artery Disease. The American Journal of Medicine 2022;135(2):219 View
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  7. Merino J. A Reassessment of the Causal Effects of Dysglycemia on Atherosclerotic and Thrombotic Events. Diabetes 2022;71(10):2075 View
  8. Pohlman F, Ford C, Weissler E, Smerek M, Hardy N, Narcisse D, Lippmann S, Greiner M, Long C, Rymer J, Gutierrez J, Patel M, Jones W. Impact of risk factor control on peripheral artery disease outcomes and health disparities. Vascular Medicine 2022;27(4):323 View
  9. Wang S, Hogg H, Sangvai D, Patel M, Weissler E, Kellogg K, Ratliff W, Balu S, Sendak M. Development and Integration of Machine Learning Algorithm to Identify Peripheral Arterial Disease: Multistakeholder Qualitative Study. JMIR Formative Research 2023;7:e43963 View
  10. Witrick B, Kalbaugh C, Mayo R, Hendricks B, Shi L. Disparities in healthcare utilization by insurance status among patients with symptomatic peripheral artery disease. BMC Health Services Research 2023;23(1) View
  11. Heindel P, Fitzgibbon J, McKie K, Goudreau B, Dieffenbach B, Aicher B, Belkin M, Farber A, Menard M, Hussain M. Real-World Vein Mapping Practice Patterns Before Endovascular Treatment of Limb Ischemia. Journal of Surgical Research 2024;301:62 View
  12. Parsons G, Parvathinathan G, Etemadi A, Liu S, Ross E, Jones W, Stedman M, Chang T. Identifying peripheral artery disease in persons with and without chronic kidney disease from electronic health records. Vascular Medicine 2025;30(3):312 View
  13. Dubosq-Lebaz M, Secemsky E, Gouëffic Y. The Data We Overlook, the Insights We Miss: Rethinking Vascular Research. European Journal of Vascular and Endovascular Surgery 2025;70(3):284 View
  14. Appah-Sampong A, Balaji A, Casey J, Kotturu N, Montano D, Manchella M, Bacare B, Fitzgibbon J, Heindel P, Dey T, Bikdeli B, Hussain M. A scoping review of electronic phenotyping methodologies used to identify peripheral artery disease in observational studies. Vascular Medicine 2025;30(3):330 View
  15. Bose S, Stonko D, Kiang S, Roh D, Mao J, Cabrera A, Dun C, Goodney P, Black J, O’Banion L, Columbo J, Tomihama R, Hicks C. Validation of ICD-10 Codes to Distinguish Between Claudication and Chronic Limb-Threatening Ischemia in Patients Undergoing Peripheral Vascular Intervention Using Medicare-Matched Registry Data. Circulation: Cardiovascular Quality and Outcomes 2025;18(7) View
  16. Quan X, Xiong H, Liu X, Song P, Wang D, Chen Q, Hu X, Shi M. Diagnosis models to predict peripheral arterial disease: a systematic review and meta analysis. Scientific Reports 2025;15(1) View
  17. Hong A, Luu I, Lin F, Tan T, Toy B. Intravitreal anti-VEGF therapy and risk of limb complications in individuals with diabetic eye disease. Diabetes Research and Clinical Practice 2025;229:112457 View