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Cillian Hourican

Showing results (1-10 of 7) with videos related to

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Frontiers in Systems Biology|October 9, 2023
Understanding multimorbidity requires sign-disease networks and higher-order interactions, a perspectiveCillian Hourican, Geeske Peeters, René Melis, et al.
Age and Ageing|March 2, 2026
Symptoms provide predictive information on daily functioning beyond signs and diseases in middle-aged and older adults, particularly those with multimorbidityGeeske Peeters, Cillian Hourican, Mike Lees, et al.
Entropy (Basel, Switzerland)|October 25, 2024
Bias in O-Information EstimationJohanna Gehlen, Jie Li, Cillian Hourican, et al.
Plos Computational Biology|June 10, 2026
Interpreting higher-order dependence in multimorbidity using cohort data: A partial information decomposition approachCillian Hourican, Geeske Peeters, René J F Melis, et al.
Entropy (Basel, Switzerland)|November 27, 2024
Efficient Search Algorithms for Identifying Synergistic Associations in High-Dimensional DatasetsCillian Hourican, Jie Li, Pashupati P Mishra, et al.
European Heart Journal. Digital Health|September 25, 2024
Predicting early-stage coronary artery disease using machine learning and routine clinical biomarkers improved by augmented virtual dataAngela Koloi, Vasileios S Loukas, Cillian Hourican, et al.
Psychological Medicine|October 24, 2025
A multilayer network analysis of cardiovascular-depression comorbidity reveals symptom-specific molecular biomarkersJie Li, Jos A Bosch, Arja O Rydin, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Frontiers in Systems Biology|October 9, 2023
Understanding multimorbidity requires sign-disease networks and higher-order interactions, a perspectiveCillian Hourican, Geeske Peeters, René Melis, et al.
Age and Ageing|March 2, 2026
Symptoms provide predictive information on daily functioning beyond signs and diseases in middle-aged and older adults, particularly those with multimorbidityGeeske Peeters, Cillian Hourican, Mike Lees, et al.
Entropy (Basel, Switzerland)|October 25, 2024
Bias in O-Information EstimationJohanna Gehlen, Jie Li, Cillian Hourican, et al.
Plos Computational Biology|June 10, 2026
Interpreting higher-order dependence in multimorbidity using cohort data: A partial information decomposition approachCillian Hourican, Geeske Peeters, René J F Melis, et al.
Entropy (Basel, Switzerland)|November 27, 2024
Efficient Search Algorithms for Identifying Synergistic Associations in High-Dimensional DatasetsCillian Hourican, Jie Li, Pashupati P Mishra, et al.
European Heart Journal. Digital Health|September 25, 2024
Predicting early-stage coronary artery disease using machine learning and routine clinical biomarkers improved by augmented virtual dataAngela Koloi, Vasileios S Loukas, Cillian Hourican, et al.
Psychological Medicine|October 24, 2025
A multilayer network analysis of cardiovascular-depression comorbidity reveals symptom-specific molecular biomarkersJie Li, Jos A Bosch, Arja O Rydin, et al.
Pageof 1