URGE – Acute Aortic Syndrome

ML-based mortality prediction for cardiovascular surgery

URGE – Acute Aortic Syndrome

Overview

URGE evaluates ML models for predicting mortality in acute aortic syndrome patients.

Funding

  • Insight Research Ireland (Grant Number 12/RC/2289_P2)

Duration

Sep 2023 – Aug 2024

Team

  • PI: Prof Sherif Sultan; Prof Osama Soliman
  • Co-PI: Dr Ihsan Ullah; Venkatesh Kannan

Researchers

Dr Talha Iqbal; Yogesh Acharya; Esmael Hamuda; Joseph Parker; Cagri Ayhan; Venkatesh Kannan

Description

The project investigates:

  • ML performance on small datasets
  • Oversampling strategies
  • Feature selection techniques
  • Improved predictive accuracy

Thematic Areas

  • Artificial Intelligence / Machine Learning
  • Health
  • Computer Vision & Robotics

Impact

  • SDG 3: Good Health & Well-being