3.1k citations · 15.9k across the 136 of their papers we have counts for
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Diversity of symptom phenotypes in SARS-CoV-2 community infections observed in multiple large datasets
Martyn Fyles, Karina-Doris Vihta, Carole H Sudre +13
Through the use of cutting-edge unsupervised classification techniques from statistics and machine learning, we characterise symptom phenotypes among symptomatic SARS-CoV-2 PCR-pos…
Robust parametric modeling of Alzheimer's disease progression
Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai +4
Quantitative characterization of disease progression using longitudinal data can provide long-term predictions for the pathological stages of individuals. This work studies the rob…
Disease Progression Modeling and Prediction through Random Effect Gaussian Processes and Time Transformation
Marco Lorenzi, Maurizio Filippone, Daniel C. Alexander +1
The development of statistical approaches for the joint modelling of the temporal changes of imaging, biochemical, and clinical biomarkers is of paramount importance for improving…