- The role of machine learning in neuroimaging for drug discovery and developmentOrla M Doyle
Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King s College London, De Crespigny Park, London, SE5 8AF, UK
Psychopharmacology (Berl) 232:4179-89. 2015..Further refinement and tailoring of machine learning techniques may help realise their tremendous potential for drug discovery and drug validation. ..
- Multivariate decoding of brain images using ordinal regressionO M Doyle
King s College London, Department of Neuroimaging, Institute of Psychiatry PO89, De Crespigny Park, London SE5 8AF, UK
Neuroimage 81:347-57. 2013..Our results indicate the potential of an ordinal regression approach for neuroimaging data while providing a fully probabilistic framework with elegant approaches for model selection. ..
- Quantifying the attenuation of the ketamine pharmacological magnetic resonance imaging response in humans: a validation using antipsychotic and glutamatergic agentsO M Doyle
King s College London, Department of Neuroimaging, Institute of Psychiatry, London, United Kingdom
J Pharmacol Exp Ther 345:151-60. 2013..The analytical methodology used could be readily applied to investigate the mechanistic action of novel compounds relevant for psychiatric disorders such as schizophrenia and depression...
- Bridging paradigms: hybrid mechanistic-discriminative predictive modelsOrla M Doyle
Department of Neuroimaging, Institute of Psychiatry, King s College London, London, UK
IEEE Trans Biomed Eng 60:735-42. 2013..This paper reviews the use of both mechanistic models and ML in healthcare as well as emerging hybrid methods, which are an exciting and promising approach for biologically based, yet data-driven advanced intelligent systems...