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Citing this Article

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Published on 21.11.16 in Vol 4, No 4 (2016): Oct-Dec

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

Works citing "Challenges and Opportunities of Big Data in Health Care: A Systematic Review"

According to Crossref, the following articles are citing this article (DOI 10.2196/medinform.5359):

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

  1. Pezoulas VC, Kourou KD, Kalatzis F, Exarchos TP, Zampeli E, Gandolfo S, Goules A, Baldini C, Skopouli F, De Vita S, Tzioufas AG, Fotiadis DI. Overcoming the Barriers That Obscure the Interlinking and Analysis of Clinical Data Through Harmonization and Incremental Learning. IEEE Open Journal of Engineering in Medicine and Biology 2020;1:83
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  2. Lee CK, Ha HJ, Oh SJ, Kim J, Lee JK, Kim H, Yoon SM, Kang S, Kim ES, Kim TO, Na S, Lee J, Kim S, Koo HS, Park BK, Lee HH, Kim ES, Park JJ, Kwak MS, Cha JM, Ye BD, Choi CH, Kim HJ. Nationwide validation study of diagnostic algorithms for inflammatory bowel disease in Korean National Health Insurance Service database. Journal of Gastroenterology and Hepatology 2020;35(5):760
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  3. Qadri YA, Nauman A, Zikria YB, Vasilakos AV, Kim SW. The Future of Healthcare Internet of Things: A Survey of Emerging Technologies. IEEE Communications Surveys & Tutorials 2020;:1
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  4. Esmaeilzadeh P, Mirzaei T, Maddah M. The effects of data entry structure on patients’ perceptions of information quality in Health Information Exchange (HIE). International Journal of Medical Informatics 2020;135:104058
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  5. Hofer IS, Burns M, Kendale S, Wanderer JP. Realistically Integrating Machine Learning Into Clinical Practice. Anesthesia & Analgesia 2020;130(5):1115
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  6. Qaffas AA, Hoque R, Almazmomi N. The Internet of Things and Big Data Analytics for Chronic Disease Monitoring in Saudi Arabia. Telemedicine and e-Health 2020;
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  7. Noyes K, Myneni AA, Schwaitzberg SD, Hoffman AB. Quality of MBSAQIP data: bad luck, or lack of QA plan?. Surgical Endoscopy 2020;34(2):973
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  8. Spachos D, Siafis S, Bamidis P, Kouvelas D, Papazisis G. Combining big data search analytics and the FDA Adverse Event Reporting System database to detect a potential safety signal of mirtazapine abuse. Health Informatics Journal 2020;:146045821990123
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  9. Štufi M, Bačić B, Stoimenov L. Big Data Analytics and Processing Platform in Czech Republic Healthcare. Applied Sciences 2020;10(5):1705
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  10. Monaco A, Maggi S, De Cola P, Hassan TA, Palmer K, Donde S. Information and communication technology for increasing healthy ageing in people with non-communicable diseases: identifying challenges and further areas for development. Aging Clinical and Experimental Research 2019;31(11):1689
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  11. van Hartskamp M, Consoli S, Verhaegh W, Petkovic M, van de Stolpe A. Artificial Intelligence in Clinical Health Care Applications: Viewpoint. Interactive Journal of Medical Research 2019;8(2):e12100
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  12. Fahr P, Buchanan J, Wordsworth S. A Review of the Challenges of Using Biomedical Big Data for Economic Evaluations of Precision Medicine. Applied Health Economics and Health Policy 2019;17(4):443
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  13. Panayides AS, Pattichis MS, Leandrou S, Pitris C, Constantinidou A, Pattichis CS. Radiogenomics for Precision Medicine With a Big Data Analytics Perspective. IEEE Journal of Biomedical and Health Informatics 2019;23(5):2063
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  14. Miah SJ, Gammack J, Hasan N. Methodologies for designing healthcare analytics solutions: A literature analysis. Health Informatics Journal 2019;:146045821989538
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  15. Trifan A, Oliveira JL. Patient data discovery platforms as enablers of biomedical and translational research: A systematic review. Journal of Biomedical Informatics 2019;93:103154
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  16. Kruse CS. Writing a Systematic Review for Publication in a Health-Related Degree Program. JMIR Research Protocols 2019;8(10):e15490
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  17. He J, Baxter SL, Xu J, Xu J, Zhou X, Zhang K. The practical implementation of artificial intelligence technologies in medicine. Nature Medicine 2019;25(1):30
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  18. Tarricone R, Cucciniello M, Armeni P, Petracca F, Desouza KC, Hall LK, Keefe D. Mobile Health Divide Between Clinicians and Patients in Cancer Care: Results From a Cross-Sectional International Survey. JMIR mHealth and uHealth 2019;7(9):e13584
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  19. Kerr D, Klonoff DC. Digital Diabetes Data and Artificial Intelligence: A Time for Humility Not Hubris. Journal of Diabetes Science and Technology 2019;13(1):123
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  20. Moro Visconti R, Morea D. Big Data for the Sustainability of Healthcare Project Financing. Sustainability 2019;11(13):3748
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  21. Nanayakkara S, Zhou X, Spallek H. Impact of big data on oral health outcomes. Oral Diseases 2019;25(5):1245
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  22. Kielstein JT, Kruse AK, Anderson N, Vaitiekunas H, Scherneck S. Boliden auf der Intensivstation. Medizinische Klinik - Intensivmedizin und Notfallmedizin 2019;114(2):139
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  23. Safavi KC, Driscoll W, Wiener-Kronish JP. Remote Surveillance Technologies. Anesthesia & Analgesia 2019;129(3):726
    CrossRef
  24. Scott IA. Hope, hype and harms of Big Data. Internal Medicine Journal 2019;49(1):126
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  25. Shi J, Zhang J, Ge Y. CASMI—An Entropic Feature Selection Method in Turing’s Perspective. Entropy 2019;21(12):1179
    CrossRef
  26. Kannan V, Basit MA, Bajaj P, Carrington AR, Donahue IB, Flahaven EL, Medford R, Melaku T, Moran BA, Saldana LE, Willett DL, Youngblood JE, Toomay SM. User stories as lightweight requirements for agile clinical decision support development. Journal of the American Medical Informatics Association 2019;26(11):1344
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  27. Pereira K, Goode V, Brysiewicz P. Using clinical data to effect practice change. International Emergency Nursing 2019;46:100809
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  28. Cosco TD, Firth J, Vahia I, Sixsmith A, Torous J. Mobilizing mHealth Data Collection in Older Adults: Challenges and Opportunities. JMIR Aging 2019;2(1):e10019
    CrossRef
  29. Pisani AR, Kanuri N, Filbin B, Gallo C, Gould M, Lehmann LS, Levine R, Marcotte JE, Pascal B, Rousseau D, Turner S, Yen S, Ranney ML. Protecting User Privacy and Rights in Academic Data-Sharing Partnerships: Principles From a Pilot Program at Crisis Text Line. Journal of Medical Internet Research 2019;21(1):e11507
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  30. Waschkau A, Wilfling D, Steinhäuser J. Are big data analytics helpful in caring for multimorbid patients in general practice? - A scoping review. BMC Family Practice 2019;20(1)
    CrossRef
  31. Cho G, Yim J, Choi Y, Ko J, Lee S. Review of Machine Learning Algorithms for Diagnosing Mental Illness. Psychiatry Investigation 2019;16(4):262
    CrossRef
  32. Xiao J, Sun H, Zhu W, He Y, Zhang S, Xu X, Hou L, Li J, Ni Y, Xie G. Building a Medical Knowledge Graph to Enhance the Fraud, Waste and Abuse Detection on Claim Data (Preprint). JMIR Medical Informatics 2019;
    CrossRef
  33. Hopp WJ, Li J, Wang G. Big Data and the Precision Medicine Revolution. Production and Operations Management 2018;27(9):1647
    CrossRef
  34. Targarona EM, Balla A, Batista G. Big Data and Surgery: The Digital Revolution Continues. Cirugía Española (English Edition) 2018;96(5):247
    CrossRef
  35. Hong L, Luo M, Wang R, Lu P, Lu W, Lu L. Big Data in Health Care: Applications and Challenges. Data and Information Management 2018;2(3):175
    CrossRef
  36. Hopp WJ, Li J, Wang G. Big Data and the Precision Medicine Revolution. SSRN Electronic Journal 2018;
    CrossRef
  37. VanWagner LB, Kanwal F. Hepatology in a changing health care landscape: A call for health services research. Hepatology 2018;68(3):1154
    CrossRef
  38. Nam DJ, Kwon HW, Lee H, Ahn EK. National Healthcare Service and Its Big Data Analytics. Healthcare Informatics Research 2018;24(3):247
    CrossRef
  39. Sharma A, Harrington RA, McClellan MB, Turakhia MP, Eapen ZJ, Steinhubl S, Mault JR, Majmudar MD, Roessig L, Chandross KJ, Green EM, Patel B, Hamer A, Olgin J, Rumsfeld JS, Roe MT, Peterson ED. Using Digital Health Technology to Better Generate Evidence and Deliver Evidence-Based Care. Journal of the American College of Cardiology 2018;71(23):2680
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  40. Connolly J, Staines A, Connolly R, Boilson A, Davis P, Weston D, Bloodworth N. Evaluating Impact of an Emerging Big Health Data Platform: A Logic Model and Q-Methodology Approach. SSRN Electronic Journal 2018;
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  41. Roth JA, Battegay M, Juchler F, Vogt JE, Widmer AF. Introduction to Machine Learning in Digital Healthcare Epidemiology. Infection Control & Hospital Epidemiology 2018;39(12):1457
    CrossRef
  42. Bayne LE. Big Data in Neonatal Health Care. Critical Care Nursing Clinics of North America 2018;30(4):481
    CrossRef
  43. Textoris J, Taccone FS, Zafrani L, Guillon A, Gibot S, Uhel F, Azabou E, Monneret G, Pène F, de Prost N, Silva S. Data-driving methods: More than merely trendy buzzwords?. Annals of Intensive Care 2018;8(1)
    CrossRef
  44. Kaur P, Sharma M, Mittal M. Big Data and Machine Learning Based Secure Healthcare Framework. Procedia Computer Science 2018;132:1049
    CrossRef
  45. Danchin A, Ouzounis C, Tokuyasu T, Zucker J. No wisdom in the crowd: genome annotation in the era of big data - current status and future prospects. Microbial Biotechnology 2018;11(4):588
    CrossRef
  46. 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
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  47. Panyard DJ, Ramly E, Dean SM, Bartels CM. Bridging clinical researcher perceptions and health IT realities: A case study of stakeholder creep. International Journal of Medical Informatics 2018;110:19
    CrossRef
  48. Caruso R, Micallo G, Cessa M, di Bari MTC, De Marzo D, Diamanti O, Magri M, Venanzetti B, Piredda A. Italian Association of Cancer Nurses (AIIAO) is moving forward within a complex and fast-changing scenario: Our current agenda takes shape. Journal of Cancer Policy 2018;15:15
    CrossRef
  49. Targarona EM, Balla A, Batista G. Big data y cirugía: la revolución digital continúa. Cirugía Española 2018;96(5):247
    CrossRef
  50. Shetty V, Yamamoto J, Yale K. Re-architecting oral healthcare for the 21st century. Journal of Dentistry 2018;74:S10
    CrossRef
  51. Ola O, Sedig K. Discourse with Visual Health Data: Design of Human-Data Interaction. Multimodal Technologies and Interaction 2018;2(1):10
    CrossRef
  52. Blighe K, DeDionisio L, Christie KA, Chawes B, Shareef S, Kakouli-Duarte T, Chao-Shern C, Harding V, Kelly RS, Castellano L, Stebbing J, Lasky-Su JA, Nesbit MA, Moore CBT. Gene editing in the context of an increasingly complex genome. BMC Genomics 2018;19(1)
    CrossRef
  53. Chen J, Wei W, Guo C, Tang L, Sun L. Textual analysis and visualization of research trends in data mining for electronic health records. Health Policy and Technology 2017;6(4):389
    CrossRef
  54. Mudumbai S, Ayer F, Stefanko J. Perioperative and ICU Healthcare Analytics within a Veterans Integrated System Network: a Qualitative Gap Analysis. Journal of Medical Systems 2017;41(8)
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  55. Ebinger J. Health Services Research. Journal of the American College of Cardiology 2017;69(17):2242
    CrossRef
  56. Baseman J, Revere D, Painter I. Big Data in the Era of Health Information Exchanges: Challenges and Opportunities for Public Health. Informatics 2017;4(4):39
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  57. Bissonnette L, Bergeron MG. Portable devices and mobile instruments for infectious diseases point-of-care testing. Expert Review of Molecular Diagnostics 2017;17(5):471
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  58. Capó-Lugo CE, Kho AN, O'Dwyer LC, Rosenman MB. Data Sharing and Data Registries in Physical Medicine and Rehabilitation. PM&R 2017;9:S59
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According to Crossref, the following books are citing this article (DOI 10.2196/medinform.5359)

:
  1. Wijnhoven F. Human Centred Intelligent Systems. 2021. Chapter 2:13
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  2. Charapaqui-Miranda S, Arapa-Apaza K, Meza-Rodriguez M, Chacon-Torrico H. Information Management and Big Data. 2020. Chapter 21:218
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  3. Arfat Y, Usman S, Mehmood R, Katib I. Smart Infrastructure and Applications. 2020. Chapter 20:491
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  4. Martinez-Mosquera D, Luján-Mora S, Montoya L. LH, Reyes Ch. RP, Paredes Calderón M. Advances in Emerging Trends and Technologies. 2020. Chapter 12:125
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  5. Lewis K, Pham C, Batarseh FA. Data Democracy. 2020. :109
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  6. Naqishbandi TA, Ayyanathan N. Advances in Decision Sciences, Image Processing, Security and Computer Vision. 2020. Chapter 64:545
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  7. Juzwishin DWM. Big Data, Big Challenges: A Healthcare Perspective. 2019. Chapter 5:55
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  8. Persico V. Encyclopedia of Big Data Technologies. 2019. Chapter 25:244
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  9. Boone DR, Weisz HA, Sell SL, Hellmich HL. Laser Capture Microdissection. 2018. Chapter 13:235
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  10. Pognan F. Drug-Induced Liver Toxicity. 2018. Chapter 2:21
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  11. Monsen KA. Intervention Effectiveness Research: Quality Improvement and Program Evaluation. 2018. Chapter 4:41
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  12. Persico V. Encyclopedia of Big Data Technologies. 2018. Chapter 25-1:1
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