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Citing this Article

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Published on 13.01.15 in Vol 4, No 1 (2015): Jan-Mar

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

Works citing "Real-Time Web-Based Assessment of Total Population Risk of Future Emergency Department Utilization: Statewide Prospective Active Case Finding Study"

Zhongkai Hu, Bo Jin, Andrew Y Shin, Chunqing Zhu, Yifan Zhao, Shiying Hao, Le Zheng, Changlin Fu, Qiaojun Wen, Jun Ji, Zhen Li, Yong Wang, Xiaolin Zheng, Dorothy Dai, Devore S Culver, Shaun T Alfreds, Todd Rogow, Frank Stearns, Karl G Sylvester, Eric Widen, Xuefeng B Ling

Interact J Med Res 2015 (Jan 13); 4(1):e2 

According to Crossref, the following articles are citing this article (DOI 10.2196/ijmr.4022):

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

  1. Ben-Assuli O, Vest JR. Data mining techniques utilizing latent class models to evaluate emergency department revisits. Journal of Biomedical Informatics 2020;101:103341
    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. 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
  4. Hu Z, Hao S, Jin B, Shin AY, Zhu C, Huang M, Wang Y, Zheng L, Dai D, Culver DS, Alfreds ST, Rogow T, Stearns F, Sylvester KG, Widen E, Ling X. Online Prediction of Health Care Utilization in the Next Six Months Based on Electronic Health Record Information: A Cohort and Validation Study. Journal of Medical Internet Research 2015;17(9):e219
    CrossRef
  5. Hao S, Wang Y, Jin B, Shin AY, Zhu C, Huang M, Zheng L, Luo J, Hu Z, Fu C, Dai D, Wang Y, Culver DS, Alfreds ST, Rogow T, Stearns F, Sylvester KG, Widen E, Ling XB, Salluh JI. Development, Validation and Deployment of a Real Time 30 Day Hospital Readmission Risk Assessment Tool in the Maine Healthcare Information Exchange. PLOS ONE 2015;10(10):e0140271
    CrossRef
  6. Veyron J, Friocourt P, Jeanjean O, Luquel L, Bonifas N, Denis F, Belmin J, Kamolz L. Home care aides’ observations and machine learning algorithms for the prediction of visits to emergency departments by older community-dwelling individuals receiving home care assistance: A proof of concept study. PLOS ONE 2019;14(8):e0220002
    CrossRef
  7. 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
  8. 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
  9. 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
  10. Shbool MA, S. Arabeyyat O, Al-Bazi A, Al-Hyari A, Salem A, Abu-Hmaid T, Ali M, Minutolo A. Machine Learning Approaches to Predict Patient’s Length of Stay in Emergency Department. Applied Computational Intelligence and Soft Computing 2023;2023:1
    CrossRef
  11. Rajput S, Sharma PK, Malviya R. Artificial intelligence for emergency medical care. Health Care Science 2023;
    CrossRef