An algorithm for determination of rank and degree of contribution of sMRI volumetric features in depression detection

Kuryati, Kipli and Abbas, Z. Kouzani (2013) An algorithm for determination of rank and degree of contribution of sMRI volumetric features in depression detection. In: 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 3 July 2013 through 7 July 2013, Osaka; Japan.

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Official URL: http://ieeexplore.ieee.org/document/6609767/

Abstract

Brain volume changes at structural level appear to have utmost importance in depression biomarkers studies. However, these brain volumetric findings have very minimal utilization in depression detection studies at individual level. Thus, this paper presents an evaluation of volumetric features to identify the relevant/optimal features for the detection of depression. An algorithm is presented for determination of rank and degree of contribution (DoC) of structural magnetic resonance imaging (sMRI) volumetric features. The algorithm is based on the frequencies of each feature contribution toward the desired accuracy limit. Forty-four volumetric features from various brain regions were adopted for evaluation. From DoC analysis, the DoC of each volumetric feature for depression detection is calculated and the features that dominate the contribution are determined

Item Type: Proceeding (Paper)
Uncontrolled Keywords: Brain regions; Brain volume; Individual levels; Structural levels; Volumetric features, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak
Subjects: Q Science > QM Human anatomy
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Depositing User: Saman
Date Deposited: 06 Apr 2017 07:01
Last Modified: 03 May 2017 00:44
URI: http://ir.unimas.my/id/eprint/15869

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