Depression diagnosis using multimodal machine learning 1

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Depression diagnosis using multimodal machine learning

Jayapriya R • Eyamini C

Pocket

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76 sidor
2024

Depression is diagnosed by professional therapists through interviews involving a set of questions and analysis of responses and behaviors of individuals suspected to have depression. We propose a machine learning solution that analyses patterns in various modalities of input, such as video, audio, and text, from the interview of the individual to be diagnosed with depression, in order to generate a depression score.

Författare: Jayapriya R, Eyamini C
Format: Pocket/Paperback
ISBN: 9786207647767
Språk: Engelska
Antal sidor: 76
Utgivningsdatum: 2024-05-16
Förlag: LAP Lambert Academic Publishing