The Value of Aggregated High-Resolution Intraoperative Data for Predicting Post-Surgical Infectious Complications at Two Independent Sites

Roshan Tourani, Dennis H. Murphree, Genevieve Melton-Meaux, Elizabeth C. Wick, Daryl J. Kor, György J. Simon. The Value of Aggregated High-Resolution Intraoperative Data for Predicting Post-Surgical Infectious Complications at Two Independent Sites. In Lucila Ohno-Machado, Brigitte Séroussi, editors, MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics, Lyon, France, 25-30 August 2019. Volume 264 of Studies in Health Technology and Informatics, pages 398-402, IOS Press, 2019. [doi]

Authors

Roshan Tourani

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Dennis H. Murphree

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Genevieve Melton-Meaux

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Elizabeth C. Wick

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Daryl J. Kor

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György J. Simon

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