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Gaussian processes with optimal kernel construction for neuro-degenerative clinical onset prediction

Canas, LS; Yvernault, B; Cash, DM; Molteni, E; Veale, T; Benzinger, T; Ourselin, S; ... Modat, M; + view all (2018) Gaussian processes with optimal kernel construction for neuro-degenerative clinical onset prediction. In: Proceedings Volume 10575, Medical Imaging 2018: Computer-Aided Diagnosis. (pp. 105750G-1- 105750G-6). SPIE: Houston, Texas, United States. Green open access

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Abstract

Gaussian Processes (GP) are a powerful tool to capture the complex time-variations of a dataset. In the context of medical imaging analysis, they allow a robust modelling even in case of highly uncertain or incomplete datasets. Predictions from GP are dependent of the covariance kernel function selected to explain the data variance. To overcome this limitation, we propose a framework to identify the optimal covariance kernel function to model the data.The optimal kernel is defined as a composition of base kernel functions used to identify correlation patterns between data points. Our approach includes a modified version of the Compositional Kernel Learning (CKL) algorithm, in which we score the kernel families using a new energy function that depends both the Bayesian Information Criterion (BIC) and the explained variance score. We applied the proposed framework to model the progression of neurodegenerative diseases over time, in particular the progression of autosomal dominantly-inherited Alzheimer's disease, and use i t to predict the time to clinical onset of subjects carrying genetic mutation.

Type: Proceedings paper
Title: Gaussian processes with optimal kernel construction for neuro-degenerative clinical onset prediction
Event: SPIE Medical Imaging, 2018
ISBN-13: 9781510616394
Open access status: An open access version is available from UCL Discovery
DOI: 10.1117/12.2293242
Publisher version: http://dx.doi.org/10.1117/12.2293242
Language: English
Additional information: © 2018 SPIE. This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Institute of Prion Diseases
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Institute of Prion Diseases > MRC Prion Unit at UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neurodegenerative Diseases
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
URI: https://discovery.ucl.ac.uk/id/eprint/10048746
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