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

Methods and New Tools in Mental Health Research (424) Telehealth and Telemonitoring (1557) Decision Support for Health Professionals (1129) Innovations in Mental Health Systems (370) mHealth for Telemedicine and Homecare (362) Machine Learning (1373) Special Issue on Computing and Mental Health (2018) (33)

Published on in Vol 5, No 2 (2018): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9946, first published .
Predicting Caller Type From a Mental Health and Well-Being Helpline: Analysis of Call Log Data

Predicting Caller Type From a Mental Health and Well-Being Helpline: Analysis of Call Log Data

Predicting Caller Type From a Mental Health and Well-Being Helpline: Analysis of Call Log Data

Authors of this article:

Alexander Grigorash1 Author Orcid Image ;   Siobhan O'Neill2 Author Orcid Image ;   Raymond Bond1 Author Orcid Image ;   Colette Ramsey2 Author Orcid Image ;   Cherie Armour2 Author Orcid Image ;   Maurice D Mulvenna3 Author Orcid Image
Article Authors Cited by (10) Tweetations (19) Metrics

Alexander Grigorash   1 * , MSc., DPhil ;   Siobhan O'Neill   2 * , BA, MPsychSc, PhD ;   Raymond Bond   1 * , BSc., PhD. ;   Colette Ramsey   2 * , B.Sc (Hons), MSc ;   Cherie Armour   2 * , BSc., MSc., PhD. ;   Maurice D Mulvenna   3 * , BSc., MPhil., PhD.

1 Ulster University, School of Computing, Newtownabbey, United Kingdom

2 Ulster University, School of Psychology, Coleraine, United Kingdom

3 Ulster University, School of Computing, Jordanstown, United Kingdom

*all authors contributed equally

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