Predicting Depression in Canada by Automatic Filling of Beck’s Depression Inventory Questionnaire

Author:

Skaik Ruba S.1ORCID,Inkpen Diana2ORCID

Affiliation:

1. Quality Assurance, Environment and Climate Change Canada, Gatineau, QC, Canada

2. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada

Funder

Natural Science and Engineering Research Council of Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference37 articles.

1. FaceNet: A unified embedding for face recognition and clustering

2. Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

3. Top2 Vec: Distributed representations of topics;angelov;arXiv 2008 09470,2020

4. uOttawa at eRisk 2021: Automatic filling of the beck’s depression inventory questionnaire using deep learning;inkpen;Proc CLEF,2021

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