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How Resiliency and Hope Can Predict Stress of Covid-19 by Mediating Role of Spiritual Well-being Based on Machine Learning

Nowadays, artificial intelligence (AI) and machine learning (ML) are playing a tremendous role in all aspects of human life and they have the remarkable potential to solve many problems that classic sciences are unable to solve appropriately. Neuroscience and especially psychiatry is one of the most...

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Autores principales: Nooripour, Roghieh, Hosseinian, Simin, Hussain, Abir Jaafar, Annabestani, Mohsen, Maadal, Ameer, Radwin, Laurel E., Hassani-Abharian, Peyman, Pirkashani, Nikzad Ghanbari, Khoshkonesh, Abolghasem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7780917/
https://www.ncbi.nlm.nih.gov/pubmed/33398655
http://dx.doi.org/10.1007/s10943-020-01151-z
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author Nooripour, Roghieh
Hosseinian, Simin
Hussain, Abir Jaafar
Annabestani, Mohsen
Maadal, Ameer
Radwin, Laurel E.
Hassani-Abharian, Peyman
Pirkashani, Nikzad Ghanbari
Khoshkonesh, Abolghasem
author_facet Nooripour, Roghieh
Hosseinian, Simin
Hussain, Abir Jaafar
Annabestani, Mohsen
Maadal, Ameer
Radwin, Laurel E.
Hassani-Abharian, Peyman
Pirkashani, Nikzad Ghanbari
Khoshkonesh, Abolghasem
author_sort Nooripour, Roghieh
collection PubMed
description Nowadays, artificial intelligence (AI) and machine learning (ML) are playing a tremendous role in all aspects of human life and they have the remarkable potential to solve many problems that classic sciences are unable to solve appropriately. Neuroscience and especially psychiatry is one of the most important fields that can use the potential of AI and ML. This study aims to develop an ML-based model to detect the relationship between resiliency and hope with the stress of COVID-19 by mediating the role of spiritual well-being. An online survey is conducted to assess the psychological responses of Iranian people during the Covid-19 outbreak in the period between March 15 and May 20, 2020, in Iran. The Iranian public was encouraged to take part in an online survey promoted by Internet ads, e-mails, forums, social networks, and short message service (SMS) programs. As a whole, 755 people participated in this study. Sociodemographic characteristics of the participants, The Resilience Scale, The Adult Hope Scale, Paloutzian & Ellison’s Spiritual Wellbeing Scale, and Stress of Covid-19 Scale were used to gather data. The findings showed that spiritual well-being itself cannot predict stress of Covid-19 alone, and in fact, someone who has high spiritual well-being does not necessarily have a small amount of stress, and this variable, along with hope and resiliency, can be a good predictor of stress. Our extensive research indicated that traditional analytical and statistical methods are unable to correctly predict related Covid-19 outbreak factors, especially stress when benchmarked with our proposed ML-based model which can accurately capture the nonlinear relationships between the collected data variables.
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spelling pubmed-77809172021-01-05 How Resiliency and Hope Can Predict Stress of Covid-19 by Mediating Role of Spiritual Well-being Based on Machine Learning Nooripour, Roghieh Hosseinian, Simin Hussain, Abir Jaafar Annabestani, Mohsen Maadal, Ameer Radwin, Laurel E. Hassani-Abharian, Peyman Pirkashani, Nikzad Ghanbari Khoshkonesh, Abolghasem J Relig Health Original Paper Nowadays, artificial intelligence (AI) and machine learning (ML) are playing a tremendous role in all aspects of human life and they have the remarkable potential to solve many problems that classic sciences are unable to solve appropriately. Neuroscience and especially psychiatry is one of the most important fields that can use the potential of AI and ML. This study aims to develop an ML-based model to detect the relationship between resiliency and hope with the stress of COVID-19 by mediating the role of spiritual well-being. An online survey is conducted to assess the psychological responses of Iranian people during the Covid-19 outbreak in the period between March 15 and May 20, 2020, in Iran. The Iranian public was encouraged to take part in an online survey promoted by Internet ads, e-mails, forums, social networks, and short message service (SMS) programs. As a whole, 755 people participated in this study. Sociodemographic characteristics of the participants, The Resilience Scale, The Adult Hope Scale, Paloutzian & Ellison’s Spiritual Wellbeing Scale, and Stress of Covid-19 Scale were used to gather data. The findings showed that spiritual well-being itself cannot predict stress of Covid-19 alone, and in fact, someone who has high spiritual well-being does not necessarily have a small amount of stress, and this variable, along with hope and resiliency, can be a good predictor of stress. Our extensive research indicated that traditional analytical and statistical methods are unable to correctly predict related Covid-19 outbreak factors, especially stress when benchmarked with our proposed ML-based model which can accurately capture the nonlinear relationships between the collected data variables. Springer US 2021-01-04 2021 /pmc/articles/PMC7780917/ /pubmed/33398655 http://dx.doi.org/10.1007/s10943-020-01151-z Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021, corrected publication 2021 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 Original Paper
Nooripour, Roghieh
Hosseinian, Simin
Hussain, Abir Jaafar
Annabestani, Mohsen
Maadal, Ameer
Radwin, Laurel E.
Hassani-Abharian, Peyman
Pirkashani, Nikzad Ghanbari
Khoshkonesh, Abolghasem
How Resiliency and Hope Can Predict Stress of Covid-19 by Mediating Role of Spiritual Well-being Based on Machine Learning
title How Resiliency and Hope Can Predict Stress of Covid-19 by Mediating Role of Spiritual Well-being Based on Machine Learning
title_full How Resiliency and Hope Can Predict Stress of Covid-19 by Mediating Role of Spiritual Well-being Based on Machine Learning
title_fullStr How Resiliency and Hope Can Predict Stress of Covid-19 by Mediating Role of Spiritual Well-being Based on Machine Learning
title_full_unstemmed How Resiliency and Hope Can Predict Stress of Covid-19 by Mediating Role of Spiritual Well-being Based on Machine Learning
title_short How Resiliency and Hope Can Predict Stress of Covid-19 by Mediating Role of Spiritual Well-being Based on Machine Learning
title_sort how resiliency and hope can predict stress of covid-19 by mediating role of spiritual well-being based on machine learning
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7780917/
https://www.ncbi.nlm.nih.gov/pubmed/33398655
http://dx.doi.org/10.1007/s10943-020-01151-z
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