14 citations · 17 across the 5 of their papers we have counts for
5 papers
When to repeat a biomarker test? Decomposing sources of variation from conditionally repeated measurements
Supun Manathunga, Mart P. Janssen, Yu Luo +2
Repeating an imperfect biomarker test based on an initial result can introduce bias and influence misclassification risk. For example, in some blood donation settings, blood donors…
PoPStat-COVID19: Leveraging Population Pyramids to Quantify Demographic Vulnerability to COVID-19
Buddhi Wijenayake, Athulya Ratnayake, Lelumi Edirisinghe +8
Understanding how population age structure shapes COVID-19 burden is crucial for pandemic preparedness, yet common summary measures such as median age ignore key distributional fea…
Devising PoPStat: A Metric Bridging Population Pyramids with Global Disease Mortality
Tharaka Fonseka, Buddhi Wijenayake, Athulya Ratnayake +7
Understanding the relationship between population dynamics and disease-specific mortality is central to evidence-based health policy. This study introduces two novel metrics, PoPDi…
Aligning Large Language Models for Clinical Tasks
Supun Manathunga, Isuru Hettigoda
Large Language Models (LLMs) have demonstrated remarkable adaptability, showcasing their capacity to excel in tasks for which they were not explicitly trained. However, despite the…
Retrieval Augmented Generation and Representative Vector Summarization for large unstructured textual data in Medical Education
S. S. Manathunga, Y. A. Illangasekara
Large Language Models are increasingly being used for various tasks including content generation and as chatbots. Despite their impressive performances in general tasks, LLMs need…