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Machine learning in mental health and its relationship with epidemiological practice
Frontiers in Psychiatry, Volume: 15
Swansea University Authors: Marcos del Pozo Banos , Ann John
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© 2024 DelPozo-Banos, Stewart and John. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).
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DOI (Published version): 10.3389/fpsyt.2024.1347100
Abstract
Machine learning in mental health and its relationship with epidemiological practice
Published in: | Frontiers in Psychiatry |
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ISSN: | 1664-0640 |
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Frontiers Media SA
2024
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URI: | https://cronfa.swan.ac.uk/Record/cronfa65838 |
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title |
Machine learning in mental health and its relationship with epidemiological practice |
spellingShingle |
Machine learning in mental health and its relationship with epidemiological practice Marcos del Pozo Banos Ann John |
title_short |
Machine learning in mental health and its relationship with epidemiological practice |
title_full |
Machine learning in mental health and its relationship with epidemiological practice |
title_fullStr |
Machine learning in mental health and its relationship with epidemiological practice |
title_full_unstemmed |
Machine learning in mental health and its relationship with epidemiological practice |
title_sort |
Machine learning in mental health and its relationship with epidemiological practice |
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f141785b1c0ab9efe45665d35c081b84 ed8a9c37bd7b7235b762d941ef18ee55 |
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f141785b1c0ab9efe45665d35c081b84_***_Marcos del Pozo Banos ed8a9c37bd7b7235b762d941ef18ee55_***_Ann John |
author |
Marcos del Pozo Banos Ann John |
author2 |
Marcos del Pozo Banos Robert Stewart Ann John |
format |
Journal article |
container_title |
Frontiers in Psychiatry |
container_volume |
15 |
publishDate |
2024 |
institution |
Swansea University |
issn |
1664-0640 |
doi_str_mv |
10.3389/fpsyt.2024.1347100 |
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Frontiers Media SA |
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Faculty of Medicine, Health and Life Sciences |
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Faculty of Medicine, Health and Life Sciences |
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facultyofmedicinehealthandlifesciences |
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Faculty of Medicine, Health and Life Sciences |
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Swansea University Medical School - Health Data Science{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Health Data Science |
url |
http://dx.doi.org/10.3389/fpsyt.2024.1347100 |
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published_date |
2024-03-11T15:02:02Z |
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