Published on in Vol 21, No 12 (2019): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14204, first published .
Detecting Lifestyle Risk Factors for Chronic Kidney Disease With Comorbidities: Association Rule Mining Analysis of Web-Based Survey Data

Detecting Lifestyle Risk Factors for Chronic Kidney Disease With Comorbidities: Association Rule Mining Analysis of Web-Based Survey Data

Detecting Lifestyle Risk Factors for Chronic Kidney Disease With Comorbidities: Association Rule Mining Analysis of Web-Based Survey Data

Journals

  1. Ko K, Lee C, Nam S, Ahn S, Bae J, Ban C, Yoo J, Park J, Han H. Epidemiological Characterization of a Directed and Weighted Disease Network Using Data From a Cohort of One Million Patients: Network Analysis. Journal of Medical Internet Research 2020;22(4):e15196 View
  2. Maduako I, Gong Y, Wachowicz M. Building k‐partite association graphs for finding recommendation patterns from questionnaire data. Transactions in GIS 2021;25(5):2641 View
  3. Wang Y, Sun Y, Lu N, Feng X, Gao M, Zhang L, Dou Y, Meng F, Zhang K, Khalaf O. Diagnosis and Treatment Rules of Chronic Kidney Disease and Nursing Intervention Models of Related Mental Diseases Using Electronic Medical Records and Data Mining. Journal of Healthcare Engineering 2021;2021:1 View
  4. Sarker M, Moriyama M, Rashid H, Rahman M, Chisti M, Das S, Jahan Y, Saha S, Arifeen S, Ahmed T, Faruque A. Health Education Through a Campaign and mHealth to Enhance Knowledge and Quality of Life Among Patients With Chronic Kidney Disease in Bangladesh: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2021;10(11):e30191 View
  5. Akimoto T, Miyake S, Suzuki R, Iida Y, Shimizu N, Manaka H, Nakai Y, Sakata K, Yamamoto T. Safety of coil embolisation in small (smaller than 5 mm) unruptured intracranial aneurysms: A retrospective multicentre analysis. Interdisciplinary Neurosurgery 2023;31:101678 View
  6. Kim P, Kim C, Lee S, Shon J, Kwon Y, Kim J, Kim D, Yu H, Ahn H, Jeon J, Kim Y, Lee J. Another Look at Obesity Paradox in Acute Ischemic Stroke: Association Rule Mining. Journal of Personalized Medicine 2021;12(1):16 View
  7. Chen F, Pongpirul K. Rethink nutritional management in chronic kidney disease care. Frontiers in Nephrology 2023;3 View
  8. Wen H, Yang D, Xie C, Shi F, Liu Y, Zhang J, Yu C. Comparison of trend in chronic kidney disease burden between China, Japan, the United Kingdom, and the United States. Frontiers in Public Health 2022;10 View
  9. Du Y, Dennis B, Ramirez V, Li C, Wang J, Meireles C. Experiences and disease self-management in individuals living with chronic kidney disease: qualitative analysis of the National Kidney Foundation’s online community. BMC Nephrology 2022;23(1) View
  10. Kuma A, Kato A. Lifestyle-Related Risk Factors for the Incidence and Progression of Chronic Kidney Disease in the Healthy Young and Middle-Aged Population. Nutrients 2022;14(18):3787 View
  11. Lightfoot C, Wilkinson T, Yates T, Davies M, Smith A. ‘Self-Management Intervention through Lifestyle Education for Kidney health’ (the SMILE-K study): protocol for a single-blind longitudinal randomised controlled trial with nested pilot study. BMJ Open 2022;12(11):e064916 View
  12. Eisenga M, Mayer G, Pirklbauer M, Provenzano M. Editorial: Personalized medicine in CKD patients. Frontiers in Nephrology 2023;3 View
  13. Lindeback R, Abdo R, Schnabel L, Le Jambre R, Kennedy S, Katz T, Ooi C, Lambert K. Does the Nutritional Intake and Diet Quality of Children With Chronic Kidney Disease Differ From Healthy Controls? A Comprehensive Evaluation. Journal of Renal Nutrition 2023 View