Embedded Files
Elastic SCAD SVM Cluster
By: Yap Sin Yee (A16CS0226) - syyap4 [at] graduate.utm.my
Supervisor: Dr. Chan Weng Howe
Universiti Teknologi Malaysia, 2020
PSM 1
(February - June 2019)PSM 1
DOCUMENTATION
DOCUMENTATION
PSM 2
(February - August 2020)PSM 2
DEVELOPMENT
DEVELOPMENT
Final
Final
Changed the algorithm to ES-SVM Cluster.
Find the corresponding brain regions of the selected FC.
Plot connectomes on brain structure.
Performance Comparison
(Accuracy, Sensitivity, Specificity)
SVM
Elastic SCAD SVM
Elastic SCAD SVM Cluster
Version 1
Version 1
Progress until first SVM & Elastic SCAD SVM classification, 70/30 train-test split
Produced confusion matrices
Version 3
Version 3
Changed to 5-folds cross validation due to long computational time for LOO-CV
Added the part of count the frequency of selected features
Used the selected features to create a new model
Version 4
Version 4
Added seed number to shuffle data rows
Repeat 5 sets of experiment, with 5-folds CV in each experiment
DOCUMENTATION
DOCUMENTATION
RESULTS HIGHLIGHT
RESULTS HIGHLIGHT
- 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.
Acknowledgement
Acknowledgement
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"
External Links
External Links
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
Page updated
Google Sites
Report abuse