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Citing this Article

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Published on 26.07.17 in Vol 5, No 3 (2017): Jul-Sept

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

Works citing "Estimating One-Year Risk of Incident Chronic Kidney Disease: Retrospective Development and Validation Study Using Electronic Medical Record Data From the State of Maine"

Shiying Hao, Tianyun Fu, Qian Wu, Bo Jin, Chunqing Zhu, Zhongkai Hu, Yanting Guo, Yan Zhang, Yunxian Yu, Terry Fouts, Phillip Ng, Devore S Culver, Shaun T Alfreds, Frank Stearns, Karl G Sylvester, Eric Widen, Doff B McElhinney, Xuefeng B Ling

JMIR Med Inform 2017 (Jul 26); 5(3):e21 

According to Crossref, the following articles are citing this article (DOI 10.2196/medinform.7954):

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

  1. Guo W, Ge W, Cui L, Li H, Kong L. An Interpretable Disease Onset Predictive Model Using Crossover Attention Mechanism From Electronic Health Records. IEEE Access 2019;7:134236
    CrossRef
  2. Ye C, Fu T, Hao S, Zhang Y, Wang O, Jin B, Xia M, Liu M, Zhou X, Wu Q, Guo Y, Zhu C, Li Y, Culver DS, Alfreds ST, Stearns F, Sylvester KG, Widen E, McElhinney D, Ling X. Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning. Journal of Medical Internet Research 2018;20(1):e22
    CrossRef
  3. Zheng L, Wang O, Hao S, Ye C, Liu M, Xia M, Sabo AN, Markovic L, Stearns F, Kanov L, Sylvester KG, Widen E, McElhinney DB, Zhang W, Liao J, Ling XB. Development of an early-warning system for high-risk patients for suicide attempt using deep learning and electronic health records. Translational Psychiatry 2020;10(1)
    CrossRef
  4. Wang X, Zhang Y, Hao S, Zheng L, Liao J, Ye C, Xia M, Wang O, Liu M, Weng CH, Duong SQ, Jin B, Alfreds ST, Stearns F, Kanov L, Sylvester KG, Widen E, McElhinney DB, Ling XB. Prediction of the 1-Year Risk of Incident Lung Cancer: Prospective Study Using Electronic Health Records from the State of Maine. Journal of Medical Internet Research 2019;21(5):e13260
    CrossRef
  5. Wang H, Wang Y, Liang C, Li Y. Assessment of Deep Learning Using Nonimaging Information and Sequential Medical Records to Develop a Prediction Model for Nonmelanoma Skin Cancer. JAMA Dermatology 2019;155(11):1277
    CrossRef
  6. Chandir S, Siddiqi DA, Hussain OA, Niazi T, Shah MT, Dharma VK, Habib A, Khan AJ. Using Predictive Analytics to Identify Children at High Risk of Defaulting From a Routine Immunization Program: Feasibility Study. JMIR Public Health and Surveillance 2018;4(3):e63
    CrossRef
  7. Guo Y, Zheng G, Fu T, Hao S, Ye C, Zheng L, Liu M, Xia M, Jin B, Zhu C, Wang O, Wu Q, Culver DS, Alfreds ST, Stearns F, Kanov L, Bhatia A, Sylvester KG, Widen E, McElhinney DB, Ling XB. Assessing Statewide All-Cause Future One-Year Mortality: Prospective Study With Implications for Quality of Life, Resource Utilization, and Medical Futility. Journal of Medical Internet Research 2018;20(6):e10311
    CrossRef
  8. Lee S, Doktorchik C, Martin EA, D'Souza AG, Eastwood C, Shaheen AA, Naugler C, Lee J, Quan H. Electronic Medical Record–Based Case Phenotyping for the Charlson Conditions: Scoping Review. JMIR Medical Informatics 2021;9(2):e23934
    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. Abdullah Alfayez A, Kunz H, Grace Lai A. Predicting the risk of cancer in adults using supervised machine learning: a scoping review. BMJ Open 2021;11(9):e047755
    CrossRef
  11. Kotsyfakis S, Iliaki-Giannakoudaki E, Anagnostopoulos A, Papadokostaki E, Giannakoudakis K, Goumenakis M, Kotsyfakis M. The application of machine learning to imaging in hematological oncology: A scoping review. Frontiers in Oncology 2022;12
    CrossRef
  12. Manlhiot C, van den Eynde J, Kutty S, Ross HJ. A Primer on the Present State and Future Prospects for Machine Learning and Artificial Intelligence Applications in Cardiology. Canadian Journal of Cardiology 2022;38(2):169
    CrossRef
  13. González-Rocha A, Colli VA, Denova-Gutiérrez E. Risk Prediction Score for Chronic Kidney Disease in Healthy Adults and Adults With Type 2 Diabetes: Systematic Review. Preventing Chronic Disease 2023;20
    CrossRef
  14. Hirsch JS, Danna SC, Desai N, Gluckman TJ, Jhamb M, Newlin K, Pellechio B, Elbedewe A, Norfolk E. Optimizing Care Delivery in Patients with Chronic Kidney Disease in the United States: Proceedings of a Multidisciplinary Roundtable Discussion and Literature Review. Journal of Clinical Medicine 2024;13(5):1206
    CrossRef