Decision Tree Based Depression Classification from Audio Video and Language Information

@inproceedings{Yang2016DecisionTB,
  title={Decision Tree Based Depression Classification from Audio Video and Language Information},
  author={Le Yang and Dongmei Jiang and Lang He and Ercheng Pei and Meshia C{\'e}dric Oveneke and Hichem Sahli},
  booktitle={AVEC@ACM Multimedia},
  year={2016}
}
In order to improve the recognition accuracy of the Depression Classification Sub-Challenge (DCC) of the AVEC 2016, in this paper we propose a decision tree for depression classification. The decision tree is constructed according to the distribution of the multimodal prediction of PHQ-8 scores and participants' characteristics (PTSD/Depression Diagnostic, sleep-status, feeling and personality) obtained via the analysis of the transcript files of the participants. The proposed gender specific… CONTINUE READING