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

Epidemiology (130) eHealth Infrastructures (306)

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

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

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

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

Authors of this article:

Zhongkai Hu1, 2 Author Orcid Image ;   Bo Jin3 Author Orcid Image ;   Andrew Y Shin4 Author Orcid Image ;   Chunqing Zhu3 Author Orcid Image ;   Yifan Zhao3 Author Orcid Image ;   Shiying Hao2 Author Orcid Image ;   Le Zheng2, 5 Author Orcid Image ;   Changlin Fu3 Author Orcid Image ;   Qiaojun Wen3 Author Orcid Image ;   Jun Ji3, 6 Author Orcid Image ;   Zhen Li2, 7 Author Orcid Image ;   Yong Wang8, 9 Author Orcid Image ;   Xiaolin Zheng1, 2 Author Orcid Image ;   Dorothy Dai3 Author Orcid Image ;   Devore S Culver10 Author Orcid Image ;   Shaun T Alfreds10 Author Orcid Image ;   Todd Rogow10 Author Orcid Image ;   Frank Stearns3 Author Orcid Image ;   Karl G Sylvester2 Author Orcid Image ;   Eric Widen3 Author Orcid Image ;   Xuefeng B Ling2 Author Orcid Image
Article Authors Cited by (11) Tweetations (7) Metrics

Journals

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  3. Hao S, Fu T, Wu Q, Jin B, Zhu C, Hu Z, Guo Y, Zhang Y, Yu Y, Fouts T, Ng P, Culver D, Alfreds S, Stearns F, Sylvester K, Widen E, McElhinney D, Ling X. 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 View
  4. Hu Z, Hao S, Jin B, Shin A, Zhu C, Huang M, Wang Y, Zheng L, Dai D, Culver D, Alfreds S, Rogow T, Stearns F, Sylvester K, 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 View
  5. Hao S, Wang Y, Jin B, Shin A, Zhu C, Huang M, Zheng L, Luo J, Hu Z, Fu C, Dai D, Wang Y, Culver D, Alfreds S, Rogow T, Stearns F, Sylvester K, Widen E, Ling X, Salluh J. 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 View
  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 View
  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 D, Li Y, Culver D, Alfreds S, Stearns F, Sylvester K, Widen E, Ling X, Hu C. Defining and characterizing the critical transition state prior to the type 2 diabetes disease. PLOS ONE 2017;12(7):e0180937 View
  8. Jeffery A, 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 View
  9. Kuo H, Hao S, Jin B, Chou C, Han Z, Chang L, Huang Y, Hwa K, Whitin J, Sylvester K, Reddy C, Chubb H, Ceresnak S, Kanegaye J, Tremoulet A, Burns J, McElhinney D, Cohen H, Ling X. Single center blind testing of a US multi-center validated diagnostic algorithm for Kawasaki disease in Taiwan. Frontiers in Immunology 2022;13 View
  10. Shbool M, 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 View
  11. Rajput S, Sharma P, Malviya R. Artificial intelligence for emergency medical care. Health Care Science 2023 View