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Citing this Article

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Published on 19.09.14 in Vol 16, No 9 (2014): September

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

Works citing "Crowdsourcing Knowledge Discovery and Innovations in Medicine"

Leo Anthony Celi, Andrea Ippolito, Robert A Montgomery, Christopher Moses, David J Stone

J Med Internet Res 2014 (Sep 19); 16(9):e216 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.3761):

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

  1. . The Transformative Nature of Transparency in Research Funding. PLoS Biology 2014;12(12):e1002027
    CrossRef
  2. . Using hackathons to teach management consulting. Innovations in Education and Teaching International 2020;57(2):220
    CrossRef
  3. Ghassemi M, Celi LA, Stone DJ. State of the art review: the data revolution in critical care. Critical Care 2015;19(1)
    CrossRef
  4. Aungst TD, Patel R, Pugliese R, Patel I, Boutari C. From ideation to practice: How pharmacists and students can leverage hackathons and innovation labs to accelerate innovation in pharmacy. Journal of the American Pharmacists Association 2019;59(2):S25
    CrossRef
  5. Vos RA, Katayama T, Mishima H, Kawano S, Kawashima S, Kim J, Moriya Y, Tokimatsu T, Yamaguchi A, Yamamoto Y, Wu H, Amstutz P, Antezana E, Aoki NP, Arakawa K, Bolleman JT, Bolton EE, Bonnal RJP, Bono H, Burger K, Chiba H, Cohen KB, Deutsch EW, Fernández-Breis JT, Fu G, Fujisawa T, Fukushima A, García A, Goto N, Groza T, Hercus C, Hoehndorf R, Itaya K, Juty N, Kawashima T, Kim J, Kinjo AR, Kotera M, Kozaki K, Kumagai S, Kushida T, Lütteke T, Matsubara M, Miyamoto J, Mohsen A, Mori H, Naito Y, Nakazato T, Nguyen-Xuan J, Nishida K, Nishida N, Nishide H, Ogishima S, Ohta T, Okuda S, Paten B, Perret J, Prathipati P, Prins P, Queralt-Rosinach N, Shinmachi D, Suzuki S, Tabata T, Takatsuki T, Taylor K, Thompson M, Uchiyama I, Vieira B, Wei C, Wilkinson M, Yamada I, Yamanaka R, Yoshitake K, Yoshizawa AC, Dumontier M, Kosaki K, Takagi T. BioHackathon 2015: Semantics of data for life sciences and reproducible research. F1000Research 2020;9:136
    CrossRef
  6. Pathanasethpong A, Areemit R, Teerakulpisut D, Morley K, Morley M. Health hackathon as a venue for interprofessional education: a qualitative interview study. Journal of Interprofessional Care 2020;34(6):832
    CrossRef
  7. Silver JK, Binder DS, Zubcevik N, Zafonte RD. Healthcare Hackathons Provide Educational and Innovation Opportunities: A Case Study and Best Practice Recommendations. Journal of Medical Systems 2016;40(7)
    CrossRef
  8. Sparks R, Lau WW, Tsang JS. Expanding the Immunology Toolbox: Embracing Public-Data Reuse and Crowdsourcing. Immunity 2016;45(6):1191
    CrossRef
  9. . Running a research marathon. Innovations in Education and Teaching International 2018;55(2):212
    CrossRef
  10. . Learning and evolving. Cardiology in the Young 2015;25(5):984
    CrossRef
  11. Albarqouni S, Baur C, Achilles F, Belagiannis V, Demirci S, Navab N. AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images. IEEE Transactions on Medical Imaging 2016;35(5):1313
    CrossRef
  12. Chen AT, Kaplan SJ, Lach P, Xiao L. Incorporating Values Sensitive Design into Crowdsourcing Methodologies for Knowledge Collaboration. Proceedings of the Association for Information Science and Technology 2017;54(1):545
    CrossRef
  13. Sims MH, Hodges Shaw M, Gilbertson S, Storch J, Halterman MW. Legal and ethical issues surrounding the use of crowdsourcing among healthcare providers. Health Informatics Journal 2019;25(4):1618
    CrossRef
  14. Kaplan SJ, Chen AT, Carriere RM. De‐constructing the co‐construction: Researcher stance, the nature of data and community building in an online participatory platform to create a knowledge repository. Proceedings of the Association for Information Science and Technology 2017;54(1):203
    CrossRef
  15. Moseley ET, Hsu DJ, Stone DJ, Celi LA. Beyond Open Big Data: Addressing Unreliable Research. Journal of Medical Internet Research 2014;16(11):e259
    CrossRef
  16. Granados C, Pareja-Eastaway M. How do collaborative practices contribute to innovation in large organisations? The case of hackathons. Innovation 2019;21(4):487
    CrossRef
  17. . Increasing the Impact of JMIR Journals in the Attention Economy. Journal of Medical Internet Research 2019;21(10):e16172
    CrossRef
  18. Angelidis P, Berman L, Casas-Perez MDLL, Celi LA, Dafoulas GE, Dagan A, Escobar B, Lopez DM, Noguez J, Osorio-Valencia JS, Otine C, Paik K, Rojas-Potosi L, Symeonidis AL, Winkler E. The hackathon model to spur innovation around global mHealth. Journal of Medical Engineering & Technology 2016;40(7-8):392
    CrossRef
  19. Walker A, Ko N. Bringing Medicine to the Digital Age via Hackathons and Beyond. Journal of Medical Systems 2016;40(4)
    CrossRef
  20. Moodley K, Beyer C. Tygerberg Research Ubuntu-Inspired Community Engagement Model: Integrating Community Engagement into Genomic Biobanking. Biopreservation and Biobanking 2019;17(6):613
    CrossRef
  21. Lin X, Kishore R. Social media-enabled healthcare: A conceptual model of social media affordances, online social support, and health behaviors and outcomes. Technological Forecasting and Social Change 2021;166:120574
    CrossRef
  22. Lewis S, Rao CR, Shenoy PA, Salins N, Viveganandan R, Shanbhag A, Mukhopadhyay C, Prabhu K, Rao SK. Is hackathon in oncology a plausible way to foster innovation? An experiential narrative account of conducting Hacking Cancer. BMJ Innovations 2021;7(1):164
    CrossRef
  23. Mathew T, Kini JR, Rajan J. Computational methods for automated mitosis detection in histopathology images: A review. Biocybernetics and Biomedical Engineering 2021;41(1):64
    CrossRef
  24. Ramadi KB, Nguyen FT. Rapid crowdsourced innovation for COVID-19 response and economic growth. npj Digital Medicine 2021;4(1)
    CrossRef
  25. Ramadi KB, Srinivasan SS. Pre-emptive Innovation Infrastructure for Medical Emergencies: Accelerating Healthcare Innovation in the Wake of a Global Pandemic. Frontiers in Digital Health 2021;3
    CrossRef
  26. Fadlelmola FM, Ghedira K, Hamdi Y, Hanachi M, Radouani F, Allali I, Kiran A, Zass L, Alsayed N, Fassatoui M, Samtal C, Ahmed S, Da Rocha J, Chaqsare S, Sallam RM, Chaouch M, Farahat MA, Ssekagiri A, Parker Z, Adil M, Turkson M, Benchaalia A, Benkahla A, Panji S, Kassim S, Souiai O, Mulder N. H3ABioNet genomic medicine and microbiome data portals hackathon proceedings. Database 2021;2021
    CrossRef
  27. Amat M, Duralde ER, Lam BD, Lipcsey M, Persaud BK, Celi LA. Hacking the hackathon: insights from hosting a novel trainee-oriented multidisciplinary event. BMJ Innovations 2021;7(3):586
    CrossRef
  28. Mitra S, Ashby J, Muhumuza A, Ndayishimiye I, Wasserman I, Santhirapala V, Peters AW, Vervoort D, Jacob O, Gnanaraj J, Ganesh P, Afshar S. Surgathon: a new model for creating a surgical innovation ecosystem in low-resource settings. BMJ Global Health 2020;5(2):e002162
    CrossRef
  29. Mattioli DD, Thomas GW, Long SA, Tatum M, Anderson DD. Minimally trained analysts can perform fast, objective assessment of orthopedic technical skill from fluoroscopic images. IISE Transactions on Healthcare Systems Engineering 2022;12(3):212
    CrossRef
  30. Mollura M, Lehman LH, Mark RG, Barbieri R. A novel artificial intelligence based intensive care unit monitoring system: using physiological waveforms to identify sepsis. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 2021;379(2212)
    CrossRef
  31. Lyndon MP, Pathanasethpong A, Henning MA, Chen Y, Celi LA. Measuring the learning outcomes of datathons. BMJ Innovations 2022;8(2):72
    CrossRef
  32. Tahlil KM, Nwaozuru U, Conserve DF, Onyeama UF, Ojo V, Day S, Ong JJ, Tang W, Rosenberg NE, Gbajabiamila T, Nkengasong S, Obiezu-Umeh C, Oladele D, Iwelunmor J, Ezechi O, Tucker JD, Silva DS. Crowdsourcing to support training for public health: A scoping review. PLOS Global Public Health 2023;3(7):e0002202
    CrossRef
  33. Youssef A, Ng MY, Long J, Hernandez-Boussard T, Shah N, Miner A, Larson D, Langlotz CP. Organizational Factors in Clinical Data Sharing for Artificial Intelligence in Health Care. JAMA Network Open 2023;6(12):e2348422
    CrossRef
  34. Weng W, Sellergen A, Kiraly AP, D’Amour A, Park J, Pilgrim R, Pfohl S, Lau C, Natarajan V, Azizi S, Karthikesalingam A, Cole-Lewis H, Matias Y, Corrado GS, Webster DR, Shetty S, Prabhakara S, Eswaran K, Celi LAG, Liu Y. An intentional approach to managing bias in general purpose embedding models. The Lancet Digital Health 2024;6(2):e126
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.3761):

  1. Stone D, Rousseau J, Lai Y. Secondary Analysis of Electronic Health Records. 2016. Chapter 4:27
    CrossRef
  2. Ghassemi M, Celi LA, Stone DJ. Annual Update in Intensive Care and Emergency Medicine 2015. 2015. Chapter 42:573
    CrossRef
  3. Owoyemi A, Oyewusi W. Artificial Intelligence in Medicine. 2021. Chapter 331-1:1
    CrossRef
  4. Tan M, Grigorenko EL. The Cambridge Handbook of Creativity across Domains. 2017. 13:226
    CrossRef
  5. Owoyemi A, Oyewusi W. Artificial Intelligence in Medicine. 2022. Chapter 331:363
    CrossRef