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

Digital Biomarkers and Digital Phenotyping (191) Machine Learning (1465) Depression and Mood Disorders; Suicide Prevention (1363) Diagnostic Tools in Mental Health (242) Mobile Health in Psychiatry (426)

Published on in Vol 8, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15901, first published .
Testing Suicide Risk Prediction Algorithms Using Phone Measurements With Patients in Acute Mental Health Settings: Feasibility Study

Testing Suicide Risk Prediction Algorithms Using Phone Measurements With Patients in Acute Mental Health Settings: Feasibility Study

Testing Suicide Risk Prediction Algorithms Using Phone Measurements With Patients in Acute Mental Health Settings: Feasibility Study

Authors of this article:

Alina Haines-Delmont1 Author Orcid Image ;   Gurdit Chahal2 Author Orcid Image ;   Ashley Jane Bruen3 Author Orcid Image ;   Abbie Wall3 Author Orcid Image ;   Christina Tara Khan4 Author Orcid Image ;   Ramesh Sadashiv2 Author Orcid Image ;   David Fearnley5 Author Orcid Image
Article Authors Cited by (35) Tweetations (13) Metrics

Alina Haines-Delmont   1 , BA, BSc, MSc, PhD ;   Gurdit Chahal   2 , BA, MSc ;   Ashley Jane Bruen   3 , BSc, MSc ;   Abbie Wall   3 , BSc, MSc ;   Christina Tara Khan   4 , MD, PhD ;   Ramesh Sadashiv   2 , BE, MSc ;   David Fearnley   5 , MBChB, FRCP, MSc, MBA

1 Faculty of Health, Psychology and Social Care, Manchester Metropolitan University, Manchester, United Kingdom

2 CLARA Labs, CLARA Analytics, Santa Clara, CA, United States

3 University of Liverpool, Health Services Research, Liverpool, United Kingdom

4 Stanford University School of Medicine, Stanford, CA, United States

5 Mersey Care NHS Foundation Trust, Prescot, United Kingdom

Corresponding Author:

  • Alina Haines-Delmont, BA, BSc, MSc, PhD
  • Faculty of Health, Psychology and Social Care
  • Manchester Metropolitan University
  • Brooks Building, Nursing Department
  • 53 Bonsall Street
  • Manchester, M15 6GX
  • United Kingdom
  • Phone: 44 01612472461 ext 2461
  • Email: a.haines@mmu.ac.uk