Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45456, first published .
Acoustic Analysis of Speech for Screening for Suicide Risk: Machine Learning Classifiers for Between- and Within-Person Evaluation of Suicidality

Acoustic Analysis of Speech for Screening for Suicide Risk: Machine Learning Classifiers for Between- and Within-Person Evaluation of Suicidality

Acoustic Analysis of Speech for Screening for Suicide Risk: Machine Learning Classifiers for Between- and Within-Person Evaluation of Suicidality

Journals

  1. Lucarini V, Grice M, Wehrle S, Cangemi F, Giustozzi F, Amorosi S, Rasmi F, Fascendini N, Magnani F, Marchesi C, Scoriels L, Vogeley K, Krebs M, Tonna M. Language in interaction: turn-taking patterns in conversations involving individuals with schizophrenia. Psychiatry Research 2024;339:116102 View
  2. dos Santos M, Heckler W, Bavaresco R, Barbosa J. Machine learning applied to digital phenotyping: A systematic literature review and taxonomy. Computers in Human Behavior 2024;161:108422 View
  3. Figueroa C, Guillén V, Huenupán F, Vallejos C, Henríquez E, Urrutia F, Sanhueza F, Alarcón E. Comparison of Acoustic Parameters of Voice and Speech According to Vowel Type and Suicidal Risk in Adolescents. Journal of Voice 2024 View