Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics. Группа авторов

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Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics - Группа авторов


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      6. Fernald, G.H., Capriotti, E., Daneshjou, R., Karczewski, K.J., Altman, R.B., Bioinformatics challenges for personalized medicine. Bioinformatics, 27, 13, 1741–1748, 2011.

      7. Cvach, M., Monitor alarm fatigue: An integrative review. Biomed. Instrum. Technol., 46, 4, 268–277, 2012.

      8. Drew, B.J., Harris, P., Z`egre-Hemsey, J.K., Mammone, T., Schindler, D., Salas-Boni, R., Bai, Y., Tinoco, A., Ding, Q. and Hu, X., Insights into the problem of alarm fatigue with physiologic monitor devices: A comprehensive observational study of consecutive intensive care unit patients. PloS One, 9, 10, e110274, 2014.

      9. Graham, K.C. and Cvach, N., Monitor alarm fatigue: Standardizing use of physiological monitors and decreasing nuisance alarms. Am. J. Crit. Care, 19, 1, 28–34, 2010.

      10. Rothschild, J.M., Landrigan, C.P., Cronin, J.W., Kaushal, R., Lockley, S.W., Burdick, E., Stone, P.H., Lilly, C.M., Katz, J.T., Czeisler, C.A. et al., The critical care safety study: The incidence and nature of adverse events and serious medical errors in intensive care. Read Online: Crit. Care Med.—Soc. Crit. Care Med., 33, 8, 1694–1700, 2005.

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      13. Baxter, J.S.H., Gibson, E., Eagleson, R., Peters, T.M., The semiotics of medical image segmentation. Med. Image Anal., 44, 54–71, 2018.

      14. Seibert, J.A., Modalities and data acquisition, in: Practical Imaging Informatics, pp. 49–66, Springer, New York, 2009.

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      16. Kannampallil, T.G., Franklin, A., Cohen, T., Buchman, T.G., Sub-optimal patterns of information use: A rational analysis of information seeking behavior in critical care, in: Cognitive Informatics in Health and Biomedicine, pp. 389–408, Springer, London, 2014.

      18. Gillum, R.F., From papyrus to the electronic tablet: A brief history of the clinical medical record with lessons for the digital age. Am. J. Med., 126, 10, 853–857, 2013.

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      20. Wu, P.-Y., Cheng, C.-W., Kaddi, C.D., Venugopalan, J., Hoffman, R., Wang, M.D., -omic and electronic health record big data analytics for precision medicine. IEEE Trans. Biomed. Eng., 64, 2, 263–273, 2016.

      21. Luo, J., Wu, M., Gopukumar, D., Zhao, Y., Big data application in biomedical research and healthcare: A literature review. Biomed. Inform. Insights, 8, BII–S31559, 2016.

      22. Archenaa, J. and Anita, E.A.M., A survey of big data analytics in healthcare and government. Proc. Comput. Sci., 50, 408–413, 2015.

      23. Viceconti, M. and Hunter, P., and Hose, R., Big data, big knowledge: Big data for personalized healthcare. IEEE J. Biomed. Health Inform., 19, 4, 1209–1215, 2015.

      1 *Email: [email protected]

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