63 citations · 135 across the 25 of their papers we have counts for
5 papers · 1 filter
Multi-omics data integration for early diagnosis of hepatocellular carcinoma (HCC) using machine learning
Annette Spooner, Mohammad Karimi Moridani, Azadeh Safarchi +4
The complementary information found in different modalities of patient data can aid in more accurate modelling of a patient's disease state and a better understanding of the underl…
Temporal Pattern Mining for Analysis of Longitudinal Clinical Data: Identifying Risk Factors for Alzheimer's Disease
Annette Spooner, Gelareh Mohammadi, Perminder S. Sachdev +2
A novel framework is proposed for handling the complex task of modelling and analysis of longitudinal, multivariate, heterogeneous clinical data. This method uses temporal abstract…
Ensemble feature selection with clustering for analysis of high-dimensional, correlated clinical data in the search for Alzheimer's disease biomarkers
Annette Spooner, Gelareh Mohammadi, Perminder S. Sachdev +2
Healthcare datasets often contain groups of highly correlated features, such as features from the same biological system. When feature selection is applied to these datasets to ide…
Ensemble feature selection with data-driven thresholding for Alzheimer's disease biomarker discovery
Annette Spooner, Gelareh Mohammadi, Perminder S. Sachdev +2
Healthcare datasets present many challenges to both machine learning and statistics as their data are typically heterogeneous, censored, high-dimensional and have missing informati…
Scalable Inference for Nonparametric Hawkes Process Using Pólya-Gamma Augmentation
Feng Zhou, Zhidong Li, Xuhui Fan +3
In this paper, we consider the sigmoid Gaussian Hawkes process model: the baseline intensity and triggering kernel of Hawkes process are both modeled as the sigmoid transformation…