7 citations · 9 across the 4 of their papers we have counts for
4 papers
Diffsurv: Differentiable sorting for censored time-to-event data
Andre Vauvelle, Benjamin Wild, Aylin Cakiroglu +2
Survival analysis is a crucial semi-supervised task in machine learning with numerous real-world applications, particularly in healthcare. Currently, the most common approach to su…
Phenotyping with Positive Unlabelled Learning for Genome-Wide Association Studies
Andre Vauvelle, Hamish Tomlinson, Aaron Sim +1
Identifying phenotypes plays an important role in furthering our understanding of disease biology through practical applications within healthcare and the life sciences. The challe…
Evaluation of Machine Learning Methods to Predict Coronary Artery Disease Using Metabolomic Data
Henrietta Forssen, Riyaz S. Patel, Natalie Fitzpatrick +4
Metabolomic data can potentially enable accurate, non-invasive and low-cost prediction of coronary artery disease. Regression-based analytical approaches however might fail to full…
A novel framework for assessing metadata quality in epidemiological and public health research settings
Christiana McMahon, Spiros Denaxas
Metadata are critical in epidemiological and public health research. However, a lack of biomedical metadata quality frameworks and limited awareness of the implications of poor qua…