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Journal of Medical Internet Research

Citing this Article

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Published on 22.09.15 in Vol 17, No 9 (2015): September

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

Works citing "Online Prediction of Health Care Utilization in the Next Six Months Based on Electronic Health Record Information: A Cohort and Validation Study"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.4976):

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

  1. Jin B, Liu R, Hao S, Li Z, Zhu C, Zhou X, Chen P, Fu T, Hu Z, Wu Q, Liu W, Liu D, Yu Y, Zhang Y, McElhinney DB, Li Y, Culver DS, Alfreds ST, Stearns F, Sylvester KG, Widen E, Ling XB, Hu C. Defining and characterizing the critical transition state prior to the type 2 diabetes disease. PLOS ONE 2017;12(7):e0180937
  2. Hao S, Fu T, Wu Q, Jin B, Zhu C, Hu Z, Guo Y, Zhang Y, Yu Y, Fouts T, Ng P, Culver DS, Alfreds ST, Stearns F, Sylvester KG, Widen E, McElhinney DB, Ling XB. Estimating One-Year Risk of Incident Chronic Kidney Disease: Retrospective Development and Validation Study Using Electronic Medical Record Data From the State of Maine. JMIR Medical Informatics 2017;5(3):e21
  3. Dendrou CA, McVean G, Fugger L. Neuroinflammation — using big data to inform clinical practice. Nature Reviews Neurology 2016;12(12):685
  4. Rumsfeld JS, Joynt KE, Maddox TM. Big data analytics to improve cardiovascular care: promise and challenges. Nature Reviews Cardiology 2016;13(6):350
  5. Agarwal V, Zhang L, Zhu J, Fang S, Cheng T, Hong C, Shah NH. Impact of Predicting Health Care Utilization Via Web Search Behavior: A Data-Driven Analysis. Journal of Medical Internet Research 2016;18(9):e251