Prediction of postoperative outcomes using intraoperative hemodynamic monitoring data

Prediction of postoperative outcomes using intraoperative hemodynamic monitoring data

Major surgeries can result in high rates of adverse postoperative events. Reliable prediction of which patient might be at risk for such events may help guide peri- and postoperative care. We show how archiving and mining of intraoperative hemodynamic data in orthotopic liver transplantation (OLT) c...

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Main Authors: Prasad, Varesh (Contributor), Guerrisi, Maria (Author), Dauri, Mario (Author), Coniglione, Filadelfo (Author), Tisone, Giuseppe (Author), De Carolis, Elisa (Author), Cillis, Annagrazia (Author), Canichella, Antonio (Author), Toschi, Nicola (Author), Heldt, Thomas (Contributor)
Other Authors: Massachusetts Institute of Technology. Institute for Medical Engineering & Science (Contributor), Harvard University- (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Nature Publishing Group, 2017-12-01T13:51:48Z.
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