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Discovering the Causal Structure of the Hamilton Rating Scale for Depression Using Causal Discovery

Authors :
Lu Wang
Mark Chignell
Geneva Mason
Kathryn Fotinos
Martin A Katzman
Sachinthya Lokuge
Haoyan Jiang
Source :
BHI
Publication Year :
2021
Publisher :
IEEE, 2021.

Abstract

Major depressive disorder (MDD) causes many negative consequences including suicide and disability, and is one of the leading preventable causes of death in many countries. The Hamilton Rating Scale for Depression (HAM-D) used in this paper evaluates depression severity based on 17 symptoms of MDD (i.e., the HAM-D 17 , referred to below as the HAM-D). Studying the relationship amongst MDD symptoms not only provides insight into depressive symptoms but also helps identify subgroups of patients with depression. We employ causal discovery to discover the causal and correlational relationships among HAM-D symptoms. To the best of our knowledge, this is the first study to investigate HAM-D using causal discovery.

Details

Database :
OpenAIRE
Journal :
2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)
Accession number :
edsair.doi...........789d032a698a4fa95fce245ed1c3bb05
Full Text :
https://doi.org/10.1109/bhi50953.2021.9508538