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Citing this Article

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Published on 24.02.15 in Vol 3, No 1 (2015): Jan-Mar

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

Works citing "From Data to Optimal Decision Making: A Data-Driven, Probabilistic Machine Learning Approach to Decision Support for Patients With Sepsis"

According to Crossref, the following articles are citing this article (DOI 10.2196/medinform.3445):

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

  1. Beeksma M, Verberne S, van den Bosch A, Das E, Hendrickx I, Groenewoud S. Predicting life expectancy with a long short-term memory recurrent neural network using electronic medical records. BMC Medical Informatics and Decision Making 2019;19(1)
    CrossRef
  2. Kim M, Tagkopoulos I. Data integration and predictive modeling methods for multi-omics datasets. Molecular Omics 2018;14(1):8
    CrossRef
  3. Ruminski CM, Clark MT, Lake DE, Kitzmiller RR, Keim-Malpass J, Robertson MP, Simons TR, Moorman JR, Calland JF. Impact of predictive analytics based on continuous cardiorespiratory monitoring in a surgical and trauma intensive care unit. Journal of Clinical Monitoring and Computing 2018;
    CrossRef
  4. Horiguchi H, Loftus TJ, Hawkins RB, Raymond SL, Stortz JA, Hollen MK, Weiss BP, Miller ES, Bihorac A, Larson SD, Mohr AM, Brakenridge SC, Tsujimoto H, Ueno H, Moore FA, Moldawer LL, Efron PA. Innate Immunity in the Persistent Inflammation, Immunosuppression, and Catabolism Syndrome and Its Implications for Therapy. Frontiers in Immunology 2018;9
    CrossRef
  5. Nibbelink CW, Young JR, Carrington JM, Brewer BB. Informatics Solutions for Application of Decision-Making Skills. Critical Care Nursing Clinics of North America 2018;30(2):237
    CrossRef
  6. KENNEDY D, P. PHILBIN S. The imperative need to develop guidelines to manage human versus machine intelligence . Frontiers of Engineering Management 2018;0
    CrossRef
  7. Belard A, Buchman T, Dente CJ, Potter BK, Kirk A, Elster E. The Uniformed Services University’s Surgical Critical Care Initiative (SC2i): Bringing Precision Medicine to the Critically Ill . Military Medicine 2018;183(suppl_1):487
    CrossRef
  8. Perner A, Gordon AC, Angus DC, Lamontagne F, Machado F, Russell JA, Timsit J, Marshall JC, Myburgh J, Shankar-Hari M, Singer M. The intensive care medicine research agenda on septic shock. Intensive Care Medicine 2017;43(9):1294
    CrossRef
  9. Horng S, Sontag DA, Halpern Y, Jernite Y, Shapiro NI, Nathanson LA, Groza T. Creating an automated trigger for sepsis clinical decision support at emergency department triage using machine learning. PLOS ONE 2017;12(4):e0174708
    CrossRef
  10. Taneja I, Reddy B, Damhorst G, Dave Zhao S, Hassan U, Price Z, Jensen T, Ghonge T, Patel M, Wachspress S, Winter J, Rappleye M, Smith G, Healey R, Ajmal M, Khan M, Patel J, Rawal H, Sarwar R, Soni S, Anwaruddin S, Davis B, Kumar J, White K, Bashir R, Zhu R. Combining Biomarkers with EMR Data to Identify Patients in Different Phases of Sepsis. Scientific Reports 2017;7(1)
    CrossRef
  11. Sebat C, Sinigayan V, Albertson T. Hospital Rapid Response Systems. Hospital Medicine Clinics 2017;6(4):480
    CrossRef
  12. Wellner B, Grand J, Canzone E, Coarr M, Brady PW, Simmons J, Kirkendall E, Dean N, Kleinman M, Sylvester P. Predicting Unplanned Transfers to the Intensive Care Unit: A Machine Learning Approach Leveraging Diverse Clinical Elements. JMIR Medical Informatics 2017;5(4):e45
    CrossRef
  13. Belard A, Buchman T, Forsberg J, Potter BK, Dente CJ, Kirk A, Elster E. Precision diagnosis: a view of the clinical decision support systems (CDSS) landscape through the lens of critical care. Journal of Clinical Monitoring and Computing 2017;31(2):261
    CrossRef
  14. Harrison AM, Herasevich V, Gajic O. Automated Sepsis Detection, Alert, and Clinical Decision Support. Critical Care Medicine 2015;43(8):1776
    CrossRef
  15. Celi LA, Marshall JD, Lai Y, Stone DJ. Disrupting Electronic Health Records Systems: The Next Generation. JMIR Medical Informatics 2015;3(4):e34
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/medinform.3445)

:
  1. Sethi T. Guide to Big Data Applications. 2018. Chapter 14:371
    CrossRef
  2. Cox LA, Popken DA, Sun RX. Causal Analytics for Applied Risk Analysis. 2018. Chapter 1:3
    CrossRef