Depression detection using audio-visual data and artificial intelligence: A systematic mapping study


Abstract:

Major depression disorder is a mental issue that has been increasing in the last decade, in consequence, pbkp_rediction or detection of this mental disorder in early stages is necessary. Artificial intelligence techniques have been developed in order to ease the diagnosis of different illnesses, including depression, using audio-visual information such as voice or video recordings and medical images. This research field is growing, and some organizations and descriptions are required. In the present work, a systematic mapping study was conducted in order to summarize the factors involved in depression detection such as artificial intelligence techniques, source of information, and depression scales.

Año de publicación:

2021

Keywords:

  • Artificial Intelligence
  • Depression detection
  • deep learning
  • Machine learning
  • Systematic Mapping Study
  • VÍDEO
  • Voice

Fuente:

scopusscopus

Tipo de documento:

Book Part

Estado:

Acceso restringido

Áreas de conocimiento:

  • Salud mental
  • Inteligencia artificial
  • Ciencias de la computación

Áreas temáticas:

  • Funcionamiento de bibliotecas y archivos
  • Problemas sociales y servicios a grupos
  • Métodos informáticos especiales