Web Application for Clinical Use
Developing the web application addressed a common implementation barrier for machine learning models in healthcare by making the model accessible through a simple interface. A user-friendly web application was developed using Python Dash t…
1 sources - 3 claims
Developing the web application addressed a common implementation barrier for machine learning models in healthcare by making the model accessible through a simple interface. A user-friendly web application was developed using Python Dash to deliver individualised 1-year mortality risk estimates after STEMI. The web application is intended to support rapid risk calculation, clinical decision-making, patient counselling and resource allocation during the critical post-STEMI period.