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Optimizing future well-being with artificial intelligence: self-organizing maps (SOMs) for the identification of islands of emotional stability
In this article, we present a deep learning model of human psychology that can predict one’s current age and future well-being. We used the model to demonstrate that one’s baseline well-being is not the determining factor of future well-being, as posited by hedonic treadmill theory. Further, we have...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9271294/ https://www.ncbi.nlm.nih.gov/pubmed/35723468 http://dx.doi.org/10.18632/aging.204061 |
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author | Galkin, Fedor Kochetov, Kirill Keller, Michelle Zhavoronkov, Alex Etcoff, Nancy |
author_facet | Galkin, Fedor Kochetov, Kirill Keller, Michelle Zhavoronkov, Alex Etcoff, Nancy |
author_sort | Galkin, Fedor |
collection | PubMed |
description | In this article, we present a deep learning model of human psychology that can predict one’s current age and future well-being. We used the model to demonstrate that one’s baseline well-being is not the determining factor of future well-being, as posited by hedonic treadmill theory. Further, we have created a 2D map of human psychotypes and identified the regions that are most vulnerable to depression. This map may be used to provide personalized recommendations for maximizing one’s future well-being. |
format | Online Article Text |
id | pubmed-9271294 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-92712942022-07-13 Optimizing future well-being with artificial intelligence: self-organizing maps (SOMs) for the identification of islands of emotional stability Galkin, Fedor Kochetov, Kirill Keller, Michelle Zhavoronkov, Alex Etcoff, Nancy Aging (Albany NY) Research Paper In this article, we present a deep learning model of human psychology that can predict one’s current age and future well-being. We used the model to demonstrate that one’s baseline well-being is not the determining factor of future well-being, as posited by hedonic treadmill theory. Further, we have created a 2D map of human psychotypes and identified the regions that are most vulnerable to depression. This map may be used to provide personalized recommendations for maximizing one’s future well-being. Impact Journals 2022-06-20 /pmc/articles/PMC9271294/ /pubmed/35723468 http://dx.doi.org/10.18632/aging.204061 Text en Copyright: © 2022 Galkin et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Galkin, Fedor Kochetov, Kirill Keller, Michelle Zhavoronkov, Alex Etcoff, Nancy Optimizing future well-being with artificial intelligence: self-organizing maps (SOMs) for the identification of islands of emotional stability |
title | Optimizing future well-being with artificial intelligence: self-organizing maps (SOMs) for the identification of islands of emotional stability |
title_full | Optimizing future well-being with artificial intelligence: self-organizing maps (SOMs) for the identification of islands of emotional stability |
title_fullStr | Optimizing future well-being with artificial intelligence: self-organizing maps (SOMs) for the identification of islands of emotional stability |
title_full_unstemmed | Optimizing future well-being with artificial intelligence: self-organizing maps (SOMs) for the identification of islands of emotional stability |
title_short | Optimizing future well-being with artificial intelligence: self-organizing maps (SOMs) for the identification of islands of emotional stability |
title_sort | optimizing future well-being with artificial intelligence: self-organizing maps (soms) for the identification of islands of emotional stability |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9271294/ https://www.ncbi.nlm.nih.gov/pubmed/35723468 http://dx.doi.org/10.18632/aging.204061 |
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