Machine Learning Framework for Identification of Depression

version 1.5.1 (156 MB) by Zhifei Li
Machine learning approaches (e.g. GA, SVM, KNN) are applied to detect MDD-related features from fNIRS signals.

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Updated 1 May 2022

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The proposed ML framework involved a sequence process of the fNIRS feature extraction, selection, classification, and validation.
The raw data that support the findings of this study are available on request from the corresponding author (pcmrhcm@nus.edu.sg). The data are not publicly available due to privacy or ethical restrictions.
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MATLAB Release Compatibility
Created with R2021b
Compatible with any release
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