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Citing this Article

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Published on 17.01.14 in Vol 2, No 1 (2014): Jan-Jun

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

Works citing "Big Data and Clinicians: A Review on the State of the Science"

According to Crossref, the following articles are citing this article (DOI 10.2196/medinform.2913):

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

  1. Fredriksson C. Big data creating new knowledge as support in decision-making: practical examples of big data use and consequences of using big data as decision support. Journal of Decision Systems 2018;27(1):1
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  2. Bink A, Benner J, Reinhardt J, De Vere-Tyndall A, Stieltjes B, Hainc N, Stippich C. Structured Reporting in Neuroradiology: Intracranial Tumors. Frontiers in Neurology 2018;9
    CrossRef
  3. Guha S, Kumar S. Emergence of Big Data Research in Operations Management, Information Systems, and Healthcare: Past Contributions and Future Roadmap. Production and Operations Management 2018;27(9):1724
    CrossRef
  4. Shachar N, Mitelpunkt A, Kozlovski T, Galili T, Frostig T, Brill B, Marcus-Kalish M, Benjamini Y. The Importance of Nonlinear Transformations Use in Medical Data Analysis. JMIR Medical Informatics 2018;6(2):e27
    CrossRef
  5. Treder M, Gaber A, Rudloff B, Eter N. Real-Life-Daten-Analyse der Therapiequalität bei Patienten mit exsudativer altersabhängiger Makuladegeneration (AMD) und venösen Gefäßverschlüssen an einer deutschen Universitätsaugenklinik. Der Ophthalmologe 2018;
    CrossRef
  6. Schaarup C, Pape-Haugaard LB, Hejlesen OK. Models Used in Clinical Decision Support Systems Supporting Healthcare Professionals Treating Chronic Wounds: Systematic Literature Review. JMIR Diabetes 2018;3(2):e11
    CrossRef
  7. Davison SN. Personalized Approach and Precision Medicine in Supportive and End-of-Life Care for Patients With Advanced and End-Stage Kidney Disease. Seminars in Nephrology 2018;38(4):336
    CrossRef
  8. Schee genannt Halfmann S, Evangelatos N, Schröder-Bäck P, Brand A. European healthcare systems readiness to shift from ‘one-size fits all’ to personalized medicine. Personalized Medicine 2017;14(1):63
    CrossRef
  9. Balla A, Batista Rodríguez G, Corradetti S, Balagué C, Fernández-Ananín S, Targarona EM. Outcomes after bariatric surgery according to large databases: a systematic review. Langenbeck's Archives of Surgery 2017;402(6):885
    CrossRef
  10. Chen Y, Wang Z, Yuan G, Huang L. An overview of online based platforms for sharing and analyzing electrophysiology data from big data perspective. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 2017;7(4):e1206
    CrossRef
  11. Osborne TF, Clark RH, Blackowiak J, Williamson PJ, Werb SM, Strong BW. Efficiency Analysis of an Interoperable Healthcare Operations Platform. Journal of Medical Systems 2017;41(4)
    CrossRef
  12. Westra BL, Sylvia M, Weinfurter EF, Pruinelli L, Park JI, Dodd D, Keenan GM, Senk P, Richesson RL, Baukner V, Cruz C, Gao G, Whittenburg L, Delaney CW. Big data science: A literature review of nursing research exemplars. Nursing Outlook 2017;65(5):549
    CrossRef
  13. Agoston DV, Langford D. Big Data in traumatic brain injury; promise and challenges. Concussion 2017;2(4):CNC44
    CrossRef
  14. Lee CH, Yoon H. Medical big data: promise and challenges. Kidney Research and Clinical Practice 2017;36(1):3
    CrossRef
  15. Danso SO, Job DE, Gonzalez DR, Dickie DA, Palmer J, Ure J, Bath PM, Sandercock PAG, Wardlaw JM. Developing an Integrated Image Bank and Metadata for Large-scale Research in Cerebrovascular Disease: Our Experience from the Stroke Image Bank Project. Frontiers in ICT 2016;3
    CrossRef
  16. Zhu VZ, Tuggle CT, Au AF. Promise and Limitations of Big Data Research in Plastic Surgery. Annals of Plastic Surgery 2016;76(4):453
    CrossRef
  17. Oyinlola JO, Campbell J, Kousoulis AA. Is real world evidence influencing practice? A systematic review of CPRD research in NICE guidances. BMC Health Services Research 2016;16(1)
    CrossRef
  18. Hackl WO, Ammenwerth E. SPIRIT: Systematic Planning of Intelligent Reuse of Integrated Clinical Routine Data. Methods of Information in Medicine 2016;55(02):114
    CrossRef
  19. Kortüm K, Müller M, Hirneiß C, Babenko A, Nasseh D, Kern C, Kampik A, Priglinger S, Kreutzer TC. „Smart eye data“. Der Ophthalmologe 2016;113(6):469
    CrossRef
  20. Janke AT, Overbeek DL, Kocher KE, Levy PD. Exploring the Potential of Predictive Analytics and Big Data in Emergency Care. Annals of Emergency Medicine 2016;67(2):227
    CrossRef
  21. Mbagwu M, French DD, Gill M, Mitchell C, Jackson K, Kho A, Bryar PJ. Creation of an Accurate Algorithm to Detect Snellen Best Documented Visual Acuity from Ophthalmology Electronic Health Record Notes. JMIR Medical Informatics 2016;4(2):e14
    CrossRef
  22. Mostert M, Bredenoord AL, Biesaart MCIH, van Delden JJM. Big Data in medical research and EU data protection law: challenges to the consent or anonymise approach. European Journal of Human Genetics 2016;24(7):956
    CrossRef
  23. Luo J, Wu M, Gopukumar D, Zhao Y. Big Data Application in Biomedical Research and Health Care: A Literature Review. Biomedical Informatics Insights 2016;8:BII.S31559
    CrossRef
  24. Sutherland SM, Chawla LS, Kane-Gill SL, Hsu RK, Kramer AA, Goldstein SL, Kellum JA, Ronco C, Bagshaw SM. Utilizing Electronic Health Records to Predict Acute Kidney Injury Risk and Outcomes: Workgroup Statements from the 15th ADQI Consensus Conference. Canadian Journal of Kidney Health and Disease 2016;3:99
    CrossRef
  25. Parra Calderón CL. Big data en sanidad en España: la oportunidad de una estrategia nacional. Gaceta Sanitaria 2016;30(1):63
    CrossRef
  26. Caldieraro MA. The future of psychiatric research. Trends in Psychiatry and Psychotherapy 2016;38(4):185
    CrossRef
  27. Deserno T, Marx N. Computational Electrocardiography: Revisiting Holter ECG Monitoring. Methods of Information in Medicine 2016;55(04):305
    CrossRef
  28. Dion M, Diouf NT, Robitaille H, Turcotte S, Adekpedjou R, Labrecque M, Cauchon M, Légaré F. Teaching Shared Decision Making to Family Medicine Residents: A Descriptive Study of a Web-Based Tutorial. JMIR Medical Education 2016;2(2):e17
    CrossRef
  29. Woldu SL, Raj GV. The surgeon–scientist — a dying breed?. Nature Reviews Urology 2016;13(12):698
    CrossRef
  30. Huang C, Syed-Abdul S, Jian W, Iqbal U, Nguyen P, Lee P, Lin S, Hsu W, Wu M, Wang C, Ma K, Li Y. A novel tool for visualizing chronic kidney disease associated polymorbidity: a 13-year cohort study in Taiwan. Journal of the American Medical Informatics Association 2015;22(2):290
    CrossRef
  31. Monteith S, Glenn T, Geddes J, Bauer M. Big data are coming to psychiatry: a general introduction. International Journal of Bipolar Disorders 2015;3(1)
    CrossRef
  32. McDermott S, Turk MA. What are the implications of the big data paradigm shift for disability and health?. Disability and Health Journal 2015;8(3):303
    CrossRef
  33. Azadmanjir Z, Safdari R, Ghazisaeidi M. From Self-care for Healthy People to Self-management for Cancer Patients with Cancer Portals. Asian Pacific Journal of Cancer Prevention 2015;16(4):1321
    CrossRef
  34. Ali R, Hussain J, Siddiqi M, Hussain M, Lee S. H2RM: A Hybrid Rough Set Reasoning Model for Prediction and Management of Diabetes Mellitus. Sensors 2015;15(7):15921
    CrossRef
  35. MacRae J, Darlow B, McBain L, Jones O, Stubbe M, Turner N, Dowell A. Accessing primary care Big Data: the development of a software algorithm to explore the rich content of consultation records. BMJ Open 2015;5(8):e008160
    CrossRef
  36. Brennan PF, Bakken S. Nursing Needs Big Data and Big Data Needs Nursing. Journal of Nursing Scholarship 2015;47(5):477
    CrossRef
  37. Friedman SL, Friedman YL. The future of hepatology: Embrace change. Clinical Liver Disease 2015;5(6):127
    CrossRef
  38. Fang Z, Fan X, Chen G. A study on specialist or special disease clinics based on big data. Frontiers of Medicine 2014;8(3):376
    CrossRef
  39. Rodeghero J, Cook C. The use of big data in manual physiotherapy. Manual Therapy 2014;19(6):509
    CrossRef
  40. Iwashyna TJ, Liu V. What’s So Different about Big Data?. A Primer for Clinicians Trained to Think Epidemiologically. Annals of the American Thoracic Society 2014;11(7):1130
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/medinform.2913)

:
  1. Agoston DV. Leveraging Biomedical and Healthcare Data. 2019. :53
    CrossRef
  2. Cinaroglu S. Analytics, Operations, and Strategic Decision Making in the Public Sector. 2019. chapter 5:88
    CrossRef
  3. Papadopoulou P, Lytras M, Marouli C. Applying Big Data Analytics in Bioinformatics and Medicine. 2018. chapter 1:1
    CrossRef
  4. Ortega MI, Genero M, Piattini M. Model and Data Engineering. 2017. Chapter 8:96
    CrossRef
  5. Hardy LR, Bourne PE. Big Data-Enabled Nursing. 2017. Chapter 10:183
    CrossRef
  6. Nicholls SG, Langan SM, Benchimol EI. The Ethics of Biomedical Big Data. 2016. Chapter 15:339
    CrossRef
  7. Tempini N, Leonelli S. eLS. 2015. :1
    CrossRef