Orla M. Doyle

According to our database, Orla M. Doyle authored at least 10 papers between 2011 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Machine learning using longitudinal prescription and medical claims for the detection of nonalcoholic steatohepatitis (NASH).

Ozge Yasar, Patrick Long, Brett Harder, Hanna Marshall, Sanjay Bhasin, Suyin Lee, Mark Delegge, Stephanie Roy, Orla M. Doyle, Nadejda Leavitt, John Rigg

CoRR, 2022

2021

Supervised Clustering for Subgroup Discovery: An Application to COVID-19 Symptomatology.

Aidan Cooper, Orla M. Doyle, Alison Bourke

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

2020

Using SNOMED to automate clinical concept mapping.

Shaun Gupta, Frederik Dieleman, Patrick Long, Orla M. Doyle, Nadejda Leavitt

Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020

2017

Parsing the Roles of the Frontal Lobes and Basal Ganglia in Task Control Using Multivoxel Pattern Analysis.

Angie A. Kehagia, Rong Ye, Dan W. Joyce, Orla M. Doyle, James B. Rowe, Trevor W. Robbins

J. Cogn. Neurosci., 2017

2015

Multimodal predictor of neurodevelopmental outcome in newborns with hypoxic-ischaemic encephalopathy.

Andriy Temko, Orla M. Doyle, Deirdre Murray, Gordon Lightbody, Geraldine B. Boylan, William P. Marnane

Comput. Biol. Medicine, 2015

2014

Bayesian multi-task learning for decoding multi-subject neuroimaging data.

Andre F. Marquand, Michael J. Brammer, Steven C. R. Williams, Orla M. Doyle

NeuroImage, 2014

Full Bayesian multi-task learning for multi-output brain decoding and accommodating missing data.

Andre F. Marquand, Steven C. R. Williams, Orla M. Doyle, Maria J. Rosa

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

2013

Bridging Paradigms: Hybrid Mechanistic-Discriminative Predictive Models.

Orla M. Doyle, Krasimira Tsaneva-Atanasova, James Michael Harte, Paul A. Tiffin, Peter Tiño, Vanessa Díaz-Zuccarini

IEEE Trans. Biomed. Eng., 2013

Multivariate decoding of brain images using ordinal regression.

Orla M. Doyle, John Ashburner, Fernando O. Zelaya, Stephen C. R. Williams, Mitul A. Mehta, Andre F. Marquand

NeuroImage, 2013

2011

Data-Driven Modeling of BOLD Drug Response Curves Using Gaussian Process Learning.

Orla M. Doyle, Mitul A. Mehta, Michael J. Brammer, Adam J. Schwarz, Sara De Simoni, Andre F. Marquand

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011