Detecting Depression with Audio/Text Sequence Modeling of Interviews

Publication date: Feb 20, 2024

We con- ducted three sets of experiments using features extracted from the audio and text data to predict depression. Exp 1 A regularized logistic regression model without condi- tioning on the type of questions asked. Exp 2 A regularized logistic regression model with condition- ing on the type of questions asked.

Concepts Keywords
Dropout Acm
E1001547 Al
Ferrari Asked
Meth Audio
Psychology Based
Context
Depression
Lstm
Modeling
Multi
Pp
Question
Questions
Sequence
Training

Semantics

Type Source Name
disease MESH lifestyle
drug DRUGBANK Coenzyme M
drug DRUGBANK Ranitidine
drug DRUGBANK Honey
drug DRUGBANK Aspartame
drug DRUGBANK Sulpiride
drug DRUGBANK Flunarizine
drug DRUGBANK Clotiazepam
disease MESH affective disorders
drug DRUGBANK Serine
disease MESH incoordination
drug DRUGBANK Valrubicin

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