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Development of a Computational Platform to Support the Screening, Surveillance, Prevention and Detection of Suicidal Behaviours

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Pervasive Computing Paradigms for Mental Health (MindCare 2019)

Abstract

The use of new technologies in the prevention and detection of suicidal behaviours have a strong potential to reach and offer immediate support to individuals at risk, their caregivers and in the long run to health care policymakers. In this paper, we describe the development of a computational platform to support suicide prevention activities through two main components. The first one is a Clinical Decision Support System developed to help specialists with the screening, treatment management, and the collection and analysis of suicide-related data for surveillance purposes. The second component of the platform is HelPath, a mobile-based application, addressed to individuals identified with suicidal behaviour (ideation, planning or attempt). HelPath offers support for the remote and continuous collection of data for the assessment of risk factors and offers suggestions and activities based on Cognitive Behaviour Therapy that can prevent to commit suicide. The main functionalities of each component are described emphasising how each of these functionalities impacts in the different key actions required to get an integral strategy for suicide prevention.

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Acknowledgements

This work has been funded by the “Fondo Sectorial de Investigación en Salud y Seguridad Social – FOSISS/CONACyT” under the research project 2016-1-273163 “Desarrollo de nuevas tecnologías y su integración al sector salud como ayuda a una estrategia integral de prevención del suicidio”. The first author also acknowledges the “Cátedras CONACyT” program funded by the Mexican National Research Council (CONACyT).

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Authors and Affiliations

  1. Centro de Investigación Científica y de Educación Superior de Ensenada, Unidad de Transferencia Tecnológica Tepic - CICESE-UT3, Tepic, Nay., Mexico

    Juan Martínez-Miranda, Roberto Ramos & Giovanni Rosales

  2. Consejo Nacional de Ciencia y Tecnología - CONACyT, Mexico City, Mexico

    Juan Martínez-Miranda

  3. Servicios de Salud de Nayarit, Tepic, Nay., Mexico

    Antonio Palacios-Isaac, Fernando López-Flores, Ariadna Martínez, Héctor Aguilar, Liliana Jiménez & Luis Altamirano

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  1. Juan Martínez-Miranda
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  3. Fernando López-Flores
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  7. Roberto Ramos
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Correspondence to Juan Martínez-Miranda .

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Editors and Affiliations

  1. IRCCS Istituto Auxologico Italiano, Milan, Italy

    Pietro Cipresso

  2. Department of Clinical Neurosciences, University of Lausanne, Lausanne, Switzerland

    Silvia Serino

  3. Catholic University of the Sacred Heart, Milan, Italy

    Daniela Villani

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Martínez-Miranda, J. et al. (2019). Development of a Computational Platform to Support the Screening, Surveillance, Prevention and Detection of Suicidal Behaviours. In: Cipresso, P., Serino, S., Villani, D. (eds) Pervasive Computing Paradigms for Mental Health. MindCare 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 288. Springer, Cham. https://doi.org/10.1007/978-3-030-25872-6_7

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  • DOI: https://doi.org/10.1007/978-3-030-25872-6_7

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