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

Methods and New Tools in Mental Health Research (463) Telehealth and Telemonitoring (1713) Decision Support for Health Professionals (1210) Innovations in Mental Health Systems (398) mHealth for Telemedicine and Homecare (418) Machine Learning (1501) 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

Journals

  1. Bond R, Moorhead A, Mulvenna M, O'Neill S, Potts C, Murphy N. Exploring temporal behaviour of app users completing ecological momentary assessments using mental health scales and mood logs. Behaviour & Information Technology 2019;38(10):1016 View
  2. Szlyk H, Roth K, García-Perdomo V. Engagement With Crisis Text Line Among Subgroups of Users Who Reported Suicidality. Psychiatric Services 2020;71(4):319 View
  3. O’Neill S, Bond R, Grigorash A, Ramsey C, Armour C, Mulvenna M. Data analytics of call log data to identify caller behaviour patterns from a mental health and well-being helpline. Health Informatics Journal 2019;25(4):1722 View
  4. Pinter G, Mosavi A, Felde I. Artificial Intelligence for Modeling Real Estate Price Using Call Detail Records and Hybrid Machine Learning Approach. Entropy 2020;22(12):1421 View
  5. Kleinerman A, Rosenfeld A, Rosemarin H. Machine-learning based routing of callers in an Israeli mental health hotline. Israel Journal of Health Policy Research 2022;11(1) View
  6. de Boer T, Mérelle S, Bhulai S, Gilissen R, van der Mei R. Forecasting call and chat volumes at online helplines for mental health. BMC Public Health 2023;23(1) View
  7. Bond R, Mulvenna M, Potts C, O’Neill S, Ennis E, Torous J. Digital transformation of mental health services. npj Mental Health Research 2023;2(1) View
  8. Turkington R, Potts C, Mulvenna M, Bond R, O'Neill S, Ennis E, Hardcastle K, Scowcroft E, Moore C, Hamra L. Talk Time Differences Between Interregional and Intraregional Calls to a Crisis Helpline: Statistical Analysis. JMIR Mental Health 2024;11:e58162 View