This paper is in the following e-collection/theme issue:

Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1446) Digital Biomarkers and Digital Phenotyping (182) Decision Support for Health Professionals (1162) Methods and New Tools in Mental Health Research (435) Depression and Mood Disorders; Suicide Prevention (1320) New Methods (928)

Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25199, first published .
Validation of Visual and Auditory Digital Markers of Suicidality in Acutely Suicidal Psychiatric Inpatients: Proof-of-Concept Study

Validation of Visual and Auditory Digital Markers of Suicidality in Acutely Suicidal Psychiatric Inpatients: Proof-of-Concept Study

Validation of Visual and Auditory Digital Markers of Suicidality in Acutely Suicidal Psychiatric Inpatients: Proof-of-Concept Study

Authors of this article:

Isaac Galatzer-Levy1, 2 Author Orcid Image ;   Anzar Abbas1 Author Orcid Image ;   Anja Ries3, 4, 5 Author Orcid Image ;   Stephanie Homan3, 4, 5 Author Orcid Image ;   Laura Sels3, 4 Author Orcid Image ;   Vidya Koesmahargyo1 Author Orcid Image ;   Vijay Yadav1 Author Orcid Image ;   Michael Colla4 Author Orcid Image ;   Hanne Scheerer4 Author Orcid Image ;   Stefan Vetter4 Author Orcid Image ;   Erich Seifritz4, 5 Author Orcid Image ;   Urte Scholz4 Author Orcid Image ;   Birgit Kleim3, 4, 5 Author Orcid Image
Article Authors Cited by (12) Tweetations (2) Metrics

Journals

  1. Iyer R, Meyer D. Detection of Suicide Risk Using Vocal Characteristics: Systematic Review. JMIR Biomedical Engineering 2022;7(2):e42386 View
  2. Dhelim S, Chen L, Ning H, Nugent C. Artificial intelligence for suicide assessment using Audiovisual Cues: a review. Artificial Intelligence Review 2023;56(6):5591 View
  3. Yadav J. Sentiment Analysis on Social Media. Qeios 2023 View
  4. Arend I, Beeri M, Yuen K. Choices of (in)action in obesity: Implications for research on treatment and prevention. Frontiers in Psychiatry 2022;13 View
  5. Chen Z, Kulkarni P, Galatzer-Levy I, Bigio B, Nasca C, Zhang Y. Modern views of machine learning for precision psychiatry. Patterns 2022;3(11):100602 View
  6. Homan S, Gabi M, Klee N, Bachmann S, Moser A, Duri' M, Michel S, Bertram A, Maatz A, Seiler G, Stark E, Kleim B. Linguistic features of suicidal thoughts and behaviors: A systematic review. Clinical Psychology Review 2022;95:102161 View
  7. Kleiman E, Glenn C, Liu R. The use of advanced technology and statistical methods to predict and prevent suicide. Nature Reviews Psychology 2023;2(6):347 View
  8. Kamra V, Kumar P, Mohammadian M. An Intelligent Disease Prediction System for Psychological Diseases by Implementing Hybrid Hopfield Recurrent Neural Network Approach. SSRN Electronic Journal 2022 View
  9. Alghowinem S, Zhang X, Breazeal C, Park H. Multimodal region-based behavioral modeling for suicide risk screening. Frontiers in Computer Science 2023;5 View
  10. Roos R, Witteveen A, Ayuso-Mateos J, Barbui C, Bryant R, Felez-Nobrega M, Figueiredo N, Kalisch R, Haro J, McDaid D, Mediavilla R, Melchior M, Nicaise P, Park A, Petri-Romão P, Purgato M, van Straten A, Tedeschi F, Underhill J, Sijbrandij M. Effectiveness of a scalable, remotely delivered stepped-care intervention to reduce symptoms of psychological distress among Polish migrant workers in the Netherlands: study protocol for the RESPOND randomised controlled trial. BMC Psychiatry 2023;23(1) View
  11. Galatzer-Levy I, Onnela J. Machine Learning and the Digital Measurement of Psychological Health. Annual Review of Clinical Psychology 2023;19(1):133 View

Books/Policy Documents

  1. Pham K, Sheynin J, Liberzon I. Comprehensive Precision Medicine. View