Machine Learning Can Improve Estimation of Surgical Case Duration: A Pilot Study
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)
Link
http://link.springer.com/article/10.1007/s10916-019-1160-5/fulltext.html
Reference19 articles.
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3. Gabriel, R. A., Wu, A., Huang, C. C., Dutton, R. P., and Urman, R. D., National incidences and predictors of inefficiencies in perioperative care. J. Clin. Anesth. 31:238–246, 2016.
4. May, J. H., Spangler, W. E., Strum, D. P., and Vargas, L. G., The surgical scheduling problem: Current research and future opportunities. Prod. Oper. Manag. 20(3):392–405, 2011.
5. Tankard, K., Acciavatti, T. D., Vacanti, J. C. et al., Contributors to operating room underutilization and implications for hospital administrators. Health Care Manag. (Frederick). 37(2):118–128, 2018.
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