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Machine learning algorithms for suicide risk: a premature arms race?

Detalles Bibliográficos
Autor principal: Lennon, Jack C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7534051/
https://www.ncbi.nlm.nih.gov/pubmed/33089067
http://dx.doi.org/10.1136/gpsych-2020-100269
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spelling pubmed-75340512020-10-20 Machine learning algorithms for suicide risk: a premature arms race? Lennon, Jack C Gen Psychiatr Commentary BMJ Publishing Group 2020-10-01 /pmc/articles/PMC7534051/ /pubmed/33089067 http://dx.doi.org/10.1136/gpsych-2020-100269 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Commentary
Lennon, Jack C
Machine learning algorithms for suicide risk: a premature arms race?
title Machine learning algorithms for suicide risk: a premature arms race?
title_full Machine learning algorithms for suicide risk: a premature arms race?
title_fullStr Machine learning algorithms for suicide risk: a premature arms race?
title_full_unstemmed Machine learning algorithms for suicide risk: a premature arms race?
title_short Machine learning algorithms for suicide risk: a premature arms race?
title_sort machine learning algorithms for suicide risk: a premature arms race?
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7534051/
https://www.ncbi.nlm.nih.gov/pubmed/33089067
http://dx.doi.org/10.1136/gpsych-2020-100269
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