Published on 11.06.18 in Vol 5, No 2 (2018): Apr-Jun
Works citing "Predicting Caller Type From a Mental Health and Well-Being Helpline: Analysis of Call Log Data"
According to Crossref, the following articles are citing this article (DOI 10.2196/mental.9946):
(note that this is only a small subset of citations)
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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
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Szlyk HS, Roth KB, García-Perdomo V. Engagement With Crisis Text Line Among Subgroups of Users Who Reported Suicidality. Psychiatric Services 2020;71(4):319
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O’Neill S, Bond RR, Grigorash A, Ramsey C, Armour C, Mulvenna MD. 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
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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
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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)
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de Boer TR, 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)
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Bond RR, Mulvenna MD, Potts C, O’Neill S, Ennis E, Torous J. Digital transformation of mental health services. npj Mental Health Research 2023;2(1)
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