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Predicting Liberation from Mechanical Ventilation in the Intensive Care Unit

2023
Team Members:
  • Shudong Li
  • Sruthika Baviriseaty
  • Marianna Elia
  • Sai Manasa Kalyanam
  • Elizaveta Naydanova
  • Haiyang Zhang
Advisors:
  • Robert David Stevens
  • Joseph L Greenstein
  • Casey Overby Taylor

Abstract:

We aim to develop a model that can accurately predict independence from mechanical ventilation with an end-goal of supporting clinician’s informed decision-making, improving patient outcomes upon extubation, and decreasing ICU expenditures.

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