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Prediction of Physiological Deterioration and Mortality in Mechanically Ventilated Patients Admitted to the ICU

Team: Precision Care Medicine: Coquelicot

Project Description:

This project aims to developing models for predicting ventilator-associated organ dysfunction and mortality for improved care of ventilated patients.

Project Photo:

Although mechanical ventilation is a life-saving intervention that can maintain oxygenation in a critically ill patient, it can also lead to systemic inflammation and multi-organ dysfunction. The goal of our project is to build classification models using available features from patient electronic health records to predict physiological deterioration/organ dysfunction and mortality. This will ultimately aid in early detection and intervention for high risk patients in the ICU.

Although mechanical ventilation is a life-saving intervention that can maintain oxygenation in a critically ill patient, it can also lead to systemic inflammation and multi-organ dysfunction. The goal of our project is to build classification models using available features from patient electronic health records to predict physiological deterioration/organ dysfunction and mortality. This will ultimately aid in early detection and intervention for high risk patients in the ICU.

Student Team Members

Morgan Sanchez
Yunru Chen
Shreyash Sonthalia
Timothy Bedard

Course Faculty

Project Mentors, Sponsors, and Partners

Kirby Gong
Indranuj Gangan
Raimond L Winslow, PhD
Joseph L Greenstein, PhD