Course Name: Precision Care Medicine
Machine Learning-Based Prediction of Cardiac Arrest Outcome Using a Large Multi-Center Database
Cardiac arrest (CA) is a leading cause of death and poses a significant risk of long-term neurological disability due to...
Using Machine Learning Models to Predict the Likelihood of Patient Readmission to ICU
Intensive care units (ICUs) cater to individuals with severe injuries and illnesses. Therefore, the patients within suffer from acute anatomic...
Quantitative Assessment of TMJD-Induced Sleep Disorders and Prediction of Therapy Effectiveness
Temporomandibular joint dysfunction (TMJD) is one of the most common orofacial pain conditions, affecting an estimated six to 12 percent...
Physiologic Responses to Red Blood Cell Transfusion in Critically-Ill Pediatric Patients at a University PICU between 2014-2015
In critical care units across the world blood transfusion decisions currently rely heavily on a patient’s hemoglobin concentration, though there...
Analytics of Prediction for Insomnia and Cognitive Impairment
Insomnia is the most common sleep disorder in the United States and affects approximately 60 million Americans. Patients with insomnia...
A Pulse Arrival Time Based Method to Establish Blood Pressure Limits of Autoregulation and Optimal Blood Pressure in Individual Patients During Surgery
The regulation of blood flow into peripheral organ systems is imperative to maintain adequate perfusion and prevent tissue damage. The...
Team Alpaca
Traumatic brain injury (TBI) is a leading cause of mortality and permanent neurological disability in the world, with over 50...
Team Blue Jays
Delirium is an acute onset of global brain dysfunction. It is extremely prevalent in hospitals, particularly in ICUs, affecting up...
Team Cool Monkey
Hypoxemia is defined as an abnormally low level of oxygen in arterial blood. It is commonly diagnosed among general Intensive...
Team Giraffe
Acute kidney injury (AKI) occurs when decreased renal perfusion or toxins cause glomerular or renal tubular damage. While often somewhat...
Team Mola Mola
Venous thromboembolism (VTE) is a preventable condition that includes both pulmonary embolism (PE) and deep venous thrombosis (DVT). VTE is...
Team Polar Bear
Mechanical ventilation is a critical and often life-saving treatment required by patients with respiratory failure. However, during mechanical ventilation, a...
Team Shiba
ECMO is an advanced method of life support for pediatric patients with cardiac and/or pulmonary failure. In a recent multicenter...
Team Unicorn
ADHD is the most common pediatric psychiatric condition and has an estimated $42 billion annual cost. However, due to the...
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...