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Citing this Article

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Published on 18.03.14 in Vol 2, No 1 (2014): Jan-Jun

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

Works citing "Next Generation Phenotyping Using the Unified Medical Language System"

According to Crossref, the following articles are citing this article (DOI 10.2196/medinform.3172):

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

  1. Beeksma M, Verberne S, van den Bosch A, Das E, Hendrickx I, Groenewoud S. Predicting life expectancy with a long short-term memory recurrent neural network using electronic medical records. BMC Medical Informatics and Decision Making 2019;19(1)
  2. Lin L, Liang W, Li C, Huang X, Lv J, Peng H, Wang B, Zhu B, Sun Y. Development and implementation of a dynamically updated big data intelligence platform from electronic health records for nasopharyngeal carcinoma research. The British Journal of Radiology 2019;92(1102):20190255
  3. Chu L, Kannan V, Basit MA, Schaeflein DJ, Ortuzar AR, Glorioso JF, Buchanan JR, Willett DL. SNOMED CT Concept Hierarchies for Computable Clinical Phenotypes From Electronic Health Record Data: Comparison of Intensional Versus Extensional Value Sets. JMIR Medical Informatics 2019;7(1):e11487
  4. Chen D, Zhang R, Feng J, Liu K. Fulfilling information needs of patients in online health communities. Health Information & Libraries Journal 2019;
  5. Voigt A, Saba S. The Truth Is in the Details. Circulation 2018;137(1):34
  6. Sendak M, Balu S, Schulman K. Barriers to Achieving Economies of Scale in Analysis of EHR Data. Applied Clinical Informatics 2017;08(03):826
  7. Mbagwu M, French DD, Gill M, Mitchell C, Jackson K, Kho A, Bryar PJ. Creation of an Accurate Algorithm to Detect Snellen Best Documented Visual Acuity from Ophthalmology Electronic Health Record Notes. JMIR Medical Informatics 2016;4(2):e14