Machine learning based approaches for clinical and non-clinical depression recognition and depression relapse prediction using audiovisual and EEG modalities: A comprehensive review - Université Paris-Est-Créteil-Val-de-Marne
Journal Articles Computers in Biology and Medicine Year : 2023

Machine learning based approaches for clinical and non-clinical depression recognition and depression relapse prediction using audiovisual and EEG modalities: A comprehensive review

Sana Yasin
  • Function : Author
Alice Othmani
  • Function : Author
Laboratoire Images, Signaux et Systèmes Intelligents
SYNAPSE
Imran Raza
  • Function : Author
Syed Asad Hussain
  • Function : Author

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Computer Science [cs]

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https://hal.u-pec.fr/hal-04320367

Submitted on : Monday, December 4, 2023-10:17:07 AM

Last modification on : Tuesday, December 5, 2023-3:20:09 AM

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hal-04320367 , version 1 (04-12-2023)

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Sana Yasin, Alice Othmani, Imran Raza, Syed Asad Hussain. Machine learning based approaches for clinical and non-clinical depression recognition and depression relapse prediction using audiovisual and EEG modalities: A comprehensive review. Computers in Biology and Medicine, 2023, 159, pp.106741. ⟨10.1016/j.compbiomed.2023.106741⟩. ⟨hal-04320367⟩

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