Computational Analysis of the Adaptive Causal Relationships Between Cannabis, Anxiety and Sleep

In this paper an adaptive computational temporal-causal network model is presented to analyse the dynamic and adaptive relationships between cannabis usage, anxiety and sleep. The model has been used to simulate different well-known scenarios varying from intermittent usage to longer periods of usag...

Descripción completa

Detalles Bibliográficos
Autores principales: van Leeuwen, Merijn, Wolthuis, Kirsten, Treur, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302312/
http://dx.doi.org/10.1007/978-3-030-50371-0_26
_version_ 1783547821072318464
author van Leeuwen, Merijn
Wolthuis, Kirsten
Treur, Jan
author_facet van Leeuwen, Merijn
Wolthuis, Kirsten
Treur, Jan
author_sort van Leeuwen, Merijn
collection PubMed
description In this paper an adaptive computational temporal-causal network model is presented to analyse the dynamic and adaptive relationships between cannabis usage, anxiety and sleep. The model has been used to simulate different well-known scenarios varying from intermittent usage to longer periods of usage interrupted by attempts to quit and to constant usage based on full addiction. It is described how the model has been verified and validated by empirical information from the literature.
format Online
Article
Text
id pubmed-7302312
institution National Center for Biotechnology Information
language English
publishDate 2020
record_format MEDLINE/PubMed
spelling pubmed-73023122020-06-18 Computational Analysis of the Adaptive Causal Relationships Between Cannabis, Anxiety and Sleep van Leeuwen, Merijn Wolthuis, Kirsten Treur, Jan Computational Science – ICCS 2020 Article In this paper an adaptive computational temporal-causal network model is presented to analyse the dynamic and adaptive relationships between cannabis usage, anxiety and sleep. The model has been used to simulate different well-known scenarios varying from intermittent usage to longer periods of usage interrupted by attempts to quit and to constant usage based on full addiction. It is described how the model has been verified and validated by empirical information from the literature. 2020-05-26 /pmc/articles/PMC7302312/ http://dx.doi.org/10.1007/978-3-030-50371-0_26 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
van Leeuwen, Merijn
Wolthuis, Kirsten
Treur, Jan
Computational Analysis of the Adaptive Causal Relationships Between Cannabis, Anxiety and Sleep
title Computational Analysis of the Adaptive Causal Relationships Between Cannabis, Anxiety and Sleep
title_full Computational Analysis of the Adaptive Causal Relationships Between Cannabis, Anxiety and Sleep
title_fullStr Computational Analysis of the Adaptive Causal Relationships Between Cannabis, Anxiety and Sleep
title_full_unstemmed Computational Analysis of the Adaptive Causal Relationships Between Cannabis, Anxiety and Sleep
title_short Computational Analysis of the Adaptive Causal Relationships Between Cannabis, Anxiety and Sleep
title_sort computational analysis of the adaptive causal relationships between cannabis, anxiety and sleep
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302312/
http://dx.doi.org/10.1007/978-3-030-50371-0_26
work_keys_str_mv AT vanleeuwenmerijn computationalanalysisoftheadaptivecausalrelationshipsbetweencannabisanxietyandsleep
AT wolthuiskirsten computationalanalysisoftheadaptivecausalrelationshipsbetweencannabisanxietyandsleep
AT treurjan computationalanalysisoftheadaptivecausalrelationshipsbetweencannabisanxietyandsleep

Ejemplares similares