Predicting successful weaning outcomes of patients on MV using EHR data and Physiological Waveforms
Team: Chartreuse
Program:
Physiological waveforms are used to train a model to predict extubation outcome in order to help physicians predict when to begin the weaning process of mechanical ventilation.
Sponsorship
Nihon Kohden Digital Health Solutions
Mentors
Pedro Alejandro Mendez-Tellez
Timothy Ruchti
Joseph L Greenstein
Casey Overby Taylor
Team Members
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Ishan Shailesh Vatsaraj
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Siyue Zheng
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Sonal Sinha
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Julia Tao
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David Pu
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Ruitao Hu
Project Links
A photo representing our project of predicting successful weaning outcomes for patients on Mechanical Ventilation