Neuronetwork Approach in the Early Diagnosis of Depression.

Journal: Psychiatria Danubina
Published Date:

Abstract

BACKGROUND: Depression is a common mental illness, with around 280 million people suffering from depression worldwide. At present, the main way to quantify the severity of depression is through psychometric scales, which entail subjectivity on the part of both patient and clinician. In the last few years, deep (machine) learning is emerging as a more objective approach for measuring depression severity. We now investigate how neural networks might serve for the early diagnosis of depression.

Authors

  • Darya Astafeva
    (International Centre for Education and Research in Neuropsychiatry (ICERN), Samara State Medical University, 78 Nagornaya Street, 443016 Samara, Russia, dashasumburova@gmail.com.
  • Arseny Gayduk
  • Giuseppe Tavormina
  • Timur Syunyakov
  • Oxana Chigareva
  • Kseniya Bikbaeva
  • Ekaterina Markina
  • Andrei Vlasov
  • Anna Yashikhina
  • Evgeny Zhovnerchuk
  • Aleksandr Kolsanov
  • Daria Smirnova