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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"

Zhongkai Hu, Shiying Hao, Bo Jin, Andrew Young Shin, Chunqing Zhu, Min Huang, Yue Wang, Le Zheng, Dorothy Dai, Devore S Culver, Shaun T Alfreds, Todd Rogow, Frank Stearns, Karl G Sylvester, Eric Widen, Xuefeng Ling

J Med Internet Res 2015 (Sep 22); 17(9):e219 

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. Hussain W, Hussain FK, Saberi M, Hussain OK, Chang E. Comparing time series with machine learning-based prediction approaches for violation management in cloud SLAs. Future Generation Computer Systems 2018;89:464
    CrossRef
  2. Rumsfeld JS, Joynt KE, Maddox TM. Big data analytics to improve cardiovascular care: promise and challenges. Nature Reviews Cardiology 2016;13(6):350
    CrossRef
  3. Rosella LC, Kornas K, Yao Z, Manuel DG, Bornbaum C, Fransoo R, Stukel T. Predicting High Health Care Resource Utilization in a Single-payer Public Health Care System. Medical Care 2018;56(10):e61
    CrossRef
  4. Jödicke AM, Zellweger U, Tomka IT, Neuer T, Curkovic I, Roos M, Kullak-Ublick GA, Sargsyan H, Egbring M. Prediction of health care expenditure increase: how does pharmacotherapy contribute?. BMC Health Services Research 2019;19(1)
    CrossRef
  5. Dendrou CA, McVean G, Fugger L. Neuroinflammation — using big data to inform clinical practice. Nature Reviews Neurology 2016;12(12):685
    CrossRef
  6. 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
    CrossRef
  7. Coleman BC, Fodeh S, Lisi AJ, Goulet JL, Corcoran KL, Bathulapalli H, Brandt CA. Exploring supervised machine learning approaches to predicting Veterans Health Administration chiropractic service utilization. Chiropractic & Manual Therapies 2020;28(1)
    CrossRef
  8. Wu P, Gifford A, Meng X, Li X, Campbell H, Varley T, Zhao J, Carroll R, Bastarache L, Denny JC, Theodoratou E, Wei W. Mapping ICD-10 and ICD-10-CM Codes to Phecodes: Workflow Development and Initial Evaluation. JMIR Medical Informatics 2019;7(4):e14325
    CrossRef
  9. Baltaxe E, Czypionka T, Kraus M, Reiss M, Askildsen JE, Grenkovic R, Lindén TS, Pitter JG, Rutten-van Molken M, Solans O, Stokes J, Struckmann V, Roca J, Cano I. Digital Health Transformation of Integrated Care in Europe: Overarching Analysis of 17 Integrated Care Programs. Journal of Medical Internet Research 2019;21(9):e14956
    CrossRef
  10. 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
    CrossRef
  11. 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
    CrossRef
  12. Jeffery AD, Hewner S, Pruinelli L, Lekan D, Lee M, Gao G, Holbrook L, Sylvia M. Risk prediction and segmentation models used in the United States for assessing risk in whole populations: a critical literature review with implications for nurses’ role in population health management. JAMIA Open 2019;2(1):205
    CrossRef
  13. Wiens K, Rosella LC, Kurdyak P, Hwang SW. Patterns and predictors of high-cost users of the health system: a data linkage protocol to combine a cohort study and randomised controlled trial of adults with a history of homelessness. BMJ Open 2020;10(12):e039966
    CrossRef
  14. Verhoeff M, de Groot J, Burgers JS, van Munster BC, Bajpai RC. Development and internal validation of prediction models for future hospital care utilization by patients with multimorbidity using electronic health record data. PLOS ONE 2022;17(3):e0260829
    CrossRef
  15. Kuo H, Hao S, Jin B, Chou CJ, Han Z, Chang L, Huang Y, Hwa K, Whitin JC, Sylvester KG, Reddy CD, Chubb H, Ceresnak SR, Kanegaye JT, Tremoulet AH, Burns JC, McElhinney D, Cohen HJ, Ling XB. Single center blind testing of a US multi-center validated diagnostic algorithm for Kawasaki disease in Taiwan. Frontiers in Immunology 2022;13
    CrossRef
  16. Santos A, Leal GCL, Balancieri R. Identification of high-risk beneficiaries in private healthcare insurance. Health Informatics Journal 2024;30(1)
    CrossRef