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Citing this Article

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Published on 15.01.18 in Vol 6, No 1 (2018): Jan-Mar

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

Works citing "Automating Quality Measures for Heart Failure Using Natural Language Processing: A Descriptive Study in the Department of Veterans Affairs"

According to Crossref, the following articles are citing this article (DOI 10.2196/medinform.9150):

(note that this is only a small subset of citations)

  1. Uijl A, Lund LH, Vaartjes I, Brugts JJ, Linssen GC, Asselbergs FW, Hoes AW, Dahlström U, Koudstaal S, Savarese G. A registry‐based algorithm to predict ejection fraction in patients with heart failure. ESC Heart Failure 2020;
  2. Xu J, Yang P, Xue S, Sharma B, Sanchez-Martin M, Wang F, Beaty KA, Dehan E, Parikh B. Translating cancer genomics into precision medicine with artificial intelligence: applications, challenges and future perspectives. Human Genetics 2019;138(2):109
  3. Sheikhalishahi S, Miotto R, Dudley JT, Lavelli A, Rinaldi F, Osmani V. Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review. JMIR Medical Informatics 2019;7(2):e12239
  4. Polanczyk CA, Ruschel KB, Castilho FM, Ribeiro AL. Quality Measures in Heart Failure: the Past, the Present, and the Future. Current Heart Failure Reports 2019;16(1):1
  5. Khan A, Gurvitz M. Epidemiology of ACHD: What Has Changed and What is Changing?. Progress in Cardiovascular Diseases 2018;61(3-4):275

According to Crossref, the following books are citing this article (DOI 10.2196/medinform.9150)

  1. Rüping S, Sander J. Gesundheit digital. 2019. Chapter 2:15