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Course Name: Precision Care Medicine

Using Advanced Machine Learning Models to Predict Flow Rate Escalation for Pediatric Patients on High Flow Nasal Cannula

We collected demographics, validated vital signs, respiratory support settings, medications, and medical history on 433 patients under 24 months of...

Predicting Length of Stay For Acute Stroke Patients Using 24 Hours Of Hemodynamic Features

During the acute stroke period, there is a disruption of the blood-brain barrier and cerebral blood flow autoregulation, which results...

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

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

Predicting Postoperative Outcomes Using Real-Time Blood Pressure Waveform Assessment During Non-Cardiac Surgery

Intraoperative blood pressure is a valuable measurement correlated with various postoperative outcomes such as acute kidney injury and mortality. Literature...

Machine Detection of Nystagmus from Video Recordings

Nystagmus is the instability of the eyes reflecting a physiologic change in neural circuitry that connects the inner ear, brain,...

Advanced Prediction of Physiological Decompensation

We intend to develop an algorithm that predicts, not just detects, physiological decompensation using data from the MIMIC-III database with...

Predicting Graft Loss after Living Donor Kidney Transplantation: Informing Optimal Donor Selection for a Potential Kidney Transplant Recipient

As of late 2019, there were nearly 800,000 people with end-stage kidney disease in the United States. Living donor kidney...

Prediction of Neurological Trajectories in Non-Neurological ICU Patients

Coma is a medical emergency that requires rapid and precise intervention in the intensive care unit (ICU) to improve the...

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