GCSP | Spring 2019
Pressure Ulcer Monitoring and Prevention System Algorithm
Machine learning algorithms used in biomedical applications indicate the ability of a medical device to make decisions similar to a physician. For this research, the researcher aims to address the issue of monitoring pressure ulcers which has lead to 60,000 deaths annually in the United States using machine learning. The algorithm that is being developed as part of a larger Pressure Ulcer Monitoring and Prevention System that will incorporate an alert system that will send a signal to an external source to help offload pressure on a patient and use patient data to individualize treatment with machine learning.
Hometown: Chandler, AZ, United States
Graduation date: Spring 2019