Internship project: Accuracy of machine learning for detecting deteriorating patients
Project Participants
Status: Ongoing
Opportunity
The project aims to compare the accuracy of clinical alerts detected via a machine learning algorithm with those recorded in a clinical information system.
Project Objective
- Describe the characteristics of machine learning alerts being triggered by Electronic Medical Record data.
- Characterise what triggered the machine learning alert using Electronic Medical Record data.
- Evaluate the accuracy of a machine learning alert for recognising deteriorating patients.
- Develop recommendations of how machine learning can be used to support clinical practice related to deteriorating patients.