21 citations · 26 across the 5 of their papers we have counts for
5 papers
CUNO: Curriculum and Preference Optimization for Stable Graph Unlearning under Mass Deletion
Chenhan Zhang, Ali Braytee, Madhushi Bandara +4
Graph unlearning removes the influence of designated training data from a trained graph model without retraining from scratch. However, existing methods suffer a sharp drop in mode…
Inferring Actual Treatment Pathways from Patient Records
Adrian Wilkins-Caruana, Madhushi Bandara, Katarzyna Musial +2
Treatment pathways are step-by-step plans outlining the recommended medical care for specific diseases; they get revised when different treatments are found to improve patient outc…
Machine Learning for Administrative Health Records: A Systematic Review of Techniques and Applications
Adrian Caruana, Madhushi Bandara, Katarzyna Musial +2
Machine learning provides many powerful and effective techniques for analysing heterogeneous electronic health records (EHR). Administrative Health Records (AHR) are a subset of EH…
An Overview of Ontologies and Tool Support for COVID-19 Analytics
Aakash Ahmad, Madhushi Bandara, Mahdi Fahmideh +3
The outbreak of the SARS-CoV-2 pandemic of the new COVID-19 disease (COVID-19 for short) demands empowering existing medical, economic, and social emergency backend systems with da…
Beyond Topics: Discovering Latent Healthcare Objectives from Event Sequences
Adrian Caruana, Madhushi Bandara, Daniel Catchpoole +1
A meaningful understanding of clinical protocols and patient pathways helps improve healthcare outcomes. Electronic health records (EHR) reflect real-world treatment behaviours tha…