Prediction of Recovery from Severe Hemorrhagic Shock Using Logistic Regression
Objective: This study implements logistic regression models (LRMs) and feature selection for creating a predictive model for recovery form hemorrhagic shock (HS) with resuscitation using blood in multiple experimental rat animal protocols
Use of Accelerometry for Long Term Monitoring of Stroke Patients
Stroke patients are monitored hourly by physicians and nurses in an attempt to better understand their physical state. To quantify the patients’ level of mobility, hourly movement (i.e. motor) assessment scores are performed, which can be taxing and time consuming for nurses and physicians.