Elastic SCAD SVM Cluster
For The Selection of Informative Functional Connectivity
in Autism Spectrum Disorder Classification
PSM 1(February - June 2019)
PSM 2(February - August 2020)
- The proposed Elastic SCAD SVM cluster has better performance in terms of accuracy, sensitivity and specificity compared to single SVM and single penalized SVM.
- The proposed method has selected a set of significant FC features that had been proposed as regions of interest for the ASD. There are other recent papers which have similar findings towards the selected brain regions. The proposed method provide further support for a link between motor and social and communicative abilities in ASD.
Special thanks to:
Prof John Suckling from Brain Mapping Unit, University of Cambridge for providing research facilities, technical supports as well as assistance on neuroscience based validation of the results.
Dr. Hang See Pheng from Universiti Teknologi Malaysia for providing financial support & short course learning opportunity at "Big Data Analysis of Neuroimaging (fMRI-EEG) & Genetics"
PSM 2 Online - http://web.fsksm.utm.my/
Final Year Project - https://engineering.utm.my/computing/psm/
Cambridge High Performance Hub For Clinical Informatics (HPHI) - https://www.wbic.cam.ac.uk/facilities/high-performance-hub-for-clinical-informatics