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Citing this Article

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Published on 07.04.14 in Vol 16, No 4 (2014): April

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

Works citing "Collaborative Biomedicine in the Age of Big Data: The Case of Cancer"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2496):

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

  1. Pak K, Oh S, Goh TS, Heo HJ, Han M, Jeong DC, Lee C, Sun H, Kang J, Choi S, Lee S, Kwon EJ, Kang JW, Kim YH. A User-Friendly, Web-Based Integrative Tool (ESurv) for Survival Analysis: Development and Validation Study. Journal of Medical Internet Research 2020;22(5):e16084
    CrossRef
  2. Platt JE, Raj M, Wienroth M. An Analysis of the Learning Health System in Its First Decade in Practice: Scoping Review. Journal of Medical Internet Research 2020;22(3):e17026
    CrossRef
  3. Kesić S. How to preserve the original mission of research in the omics era?. EMBO reports 2020;21(1)
    CrossRef
  4. Khan IH, Javaid M. Big data applications in medical field: A literature Review. Journal of Industrial Integration and Management 2020;
    CrossRef
  5. Denicolai S, Previtali P. Precision Medicine: Implications for value chains and business models in life sciences. Technological Forecasting and Social Change 2020;151:119767
    CrossRef
  6. Gîfu D, Trandabăț D, Cohen K, Xia J. Special Issue on the Curative Power of Medical Data. Data 2019;4(2):85
    CrossRef
  7. Hesse BW. Role of the Internet in Solving the Last Mile Problem in Medicine. Journal of Medical Internet Research 2019;21(10):e16385
    CrossRef
  8. Willems SM, Abeln S, Feenstra KA, de Bree R, van der Poel EF, Baatenburg de Jong RJ, Heringa J, van den Brekel MW. The potential use of big data in oncology. Oral Oncology 2019;98:8
    CrossRef
  9. Leung R. Increasing the Impact of JMIR Journals in the Attention Economy. Journal of Medical Internet Research 2019;21(10):e16172
    CrossRef
  10. Wilson JL, Altman RB. Biomarkers: Delivering on the expectation of molecularly driven, quantitative health. Experimental Biology and Medicine 2018;243(3):313
    CrossRef
  11. Dolley S. Big Data’s Role in Precision Public Health. Frontiers in Public Health 2018;6
    CrossRef
  12. De Silva D, Ranasinghe W, Bandaragoda T, Adikari A, Mills N, Iddamalgoda L, Alahakoon D, Lawrentschuk N, Persad R, Osipov E, Gray R, Bolton D, Fiorini N. Machine learning to support social media empowered patients in cancer care and cancer treatment decisions. PLOS ONE 2018;13(10):e0205855
    CrossRef
  13. Jaffee EM, Dang CV, Agus DB, Alexander BM, Anderson KC, Ashworth A, Barker AD, Bastani R, Bhatia S, Bluestone JA, Brawley O, Butte AJ, Coit DG, Davidson NE, Davis M, DePinho RA, Diasio RB, Draetta G, Frazier AL, Futreal A, Gambhir SS, Ganz PA, Garraway L, Gerson S, Gupta S, Heath J, Hoffman RI, Hudis C, Hughes-Halbert C, Ibrahim R, Jadvar H, Kavanagh B, Kittles R, Le Q, Lippman SM, Mankoff D, Mardis ER, Mayer DK, McMasters K, Meropol NJ, Mitchell B, Naredi P, Ornish D, Pawlik TM, Peppercorn J, Pomper MG, Raghavan D, Ritchie C, Schwarz SW, Sullivan R, Wahl R, Wolchok JD, Wong SL, Yung A. Future cancer research priorities in the USA: a Lancet Oncology Commission. The Lancet Oncology 2017;18(11):e653
    CrossRef
  14. Wait S, Han D, Muthu V, Oliver K, Chrostowski S, Florindi F, de Lorenzo F, Gandouet B, Spurrier G, Ryll B, Wierinck L, Szucs T, Hess R, Rosvall-Puplett T, Roediger A, Arora J, Yared W, Hanna S, Steinmann K, Aapro M. Towards sustainable cancer care: Reducing inefficiencies, improving outcomes—A policy report from the All.Can initiative. Journal of Cancer Policy 2017;13:47
    CrossRef
  15. Michie S, Thomas J, Johnston M, Aonghusa PM, Shawe-Taylor J, Kelly MP, Deleris LA, Finnerty AN, Marques MM, Norris E, O’Mara-Eves A, West R. The Human Behaviour-Change Project: harnessing the power of artificial intelligence and machine learning for evidence synthesis and interpretation. Implementation Science 2017;12(1)
    CrossRef
  16. Parra Saiani P. Los gatekeepers y los recursos de la investigación. Viejos desafíos y nuevas perspectivas en el tiempo de los big data. Revista Colombiana de Sociología 2016;39(2)
    CrossRef
  17. Geifman N, Butte A. A patient-level data meta-analysis of standard-of-care treatments from eight prostate cancer clinical trials. Scientific Data 2016;3(1)
    CrossRef
  18. Parra Saiani P. Le risorse e il controllo. I big data oltre il mito. SOCIOLOGIA E RICERCA SOCIALE 2016;(109):28
    CrossRef
  19. Caraguel F, Lesart A, Estève F, van der Sanden B, Stéphanou A. Towards the Design of a Patient-Specific Virtual Tumour. Computational and Mathematical Methods in Medicine 2016;2016:1
    CrossRef
  20. Finlayson SG, Levy M, Reddy S, Rubin DL. Toward rapid learning in cancer treatment selection: An analytical engine for practice-based clinical data. Journal of Biomedical Informatics 2016;60:104
    CrossRef
  21. Knobf M, Cooley M, Duffy S, Doorenbos A, Eaton L, Given B, Mayer D, McCorkle R, Miaskowski C, Mitchell S, Sherwood P, Bender C, Cataldo J, Hershey D, Katapodi M, Menon U, Schumacher K, Sun V, Ah D, LoBiondo-Wood G, Mallory G. The 2014–2018 Oncology Nursing Society Research Agenda. Oncology Nursing Forum 2015;42(5):450
    CrossRef
  22. Baldwin JN, Bootman JL, Carter RA, Crabtree BL, Piascik P, Ekoma JO, Maine LL. Pharmacy Practice, Education, and Research in the Era of Big Data: 2014-15 Argus Commission Report. American Journal of Pharmaceutical Education 2015;79(10):S26
    CrossRef
  23. Hesse BW, Moser RP, Riley WT. From Big Data to Knowledge in the Social Sciences. The ANNALS of the American Academy of Political and Social Science 2015;659(1):16
    CrossRef
  24. Salas-Vega S, Haimann A, Mossialos E. Big Data and Health Care: Challenges and Opportunities for Coordinated Policy Development in the EU. Health Systems & Reform 2015;1(4):285
    CrossRef
  25. Zawati MH, Junker A, Knoppers BM, Rahimzadeh V. Streamlining review of research involving humans: Canadian models: Table 1. Journal of Medical Genetics 2015;52(8):566
    CrossRef
  26. Onishchenko GG, Kutyrev VV, Odinokov GN, Safronov VA. Synthetic Biology: Risks and Prospects. Problems of Particularly Dangerous Infections 2014;(3):5
    CrossRef
  27. Spitz MR, Lam TK, Schully SD, Khoury MJ. The Next Generation of Large-Scale Epidemiologic Research: Implications for Training Cancer Epidemiologists. American Journal of Epidemiology 2014;180(10):964
    CrossRef
  28. Fasola G, Macerelli M, Follador A, Rihawi K, Aprile G, Mea VD. Health Information Technology in Oncology Practice: A Literature Review. Cancer Informatics 2014;13:CIN.S12417
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2496)

:
  1. Yao W, Huang Y. Big Data Analytics for Cyber-Physical System in Smart City. 2020. Chapter 75:559
    CrossRef
  2. Longo G, Montévil M. Life Sciences, Information Sciences. 2018. :243
    CrossRef
  3. Rahimzadeh V. Progress and Challenges in Precision Medicine. 2017. :171
    CrossRef
  4. Hesse BW, Ahern DK, Beckjord E. Oncology Informatics. 2016. :373
    CrossRef
  5. Roff-Wexler S. Big Data. 2016. chapter 103:2275
    CrossRef
  6. Onukwugha E, Plaisant C, Shneiderman B. Oncology Informatics. 2016. :207
    CrossRef
  7. Hesse BW, Arora NK, Klein W. Oncology Informatics. 2016. :253
    CrossRef
  8. Roff-Wexler S. Strategic Data-Based Wisdom in the Big Data Era. 2015. chapter 6:102
    CrossRef
  9. Gaitanou P, Garoufallou E, Balatsoukas P. Metadata and Semantics Research. 2014. Chapter 14:141
    CrossRef