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

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