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Utilizing machine learning to discern hidden clinical values from big data in urology

Detalles Bibliográficos
Autores principales: Kim, Wun-Jae, Jin, Peng, Kim, Won Hwa, Kim, Jayoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Urological Association 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7189104/
https://www.ncbi.nlm.nih.gov/pubmed/32377598
http://dx.doi.org/10.4111/icu.2020.61.3.239
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author Kim, Wun-Jae
Jin, Peng
Kim, Won Hwa
Kim, Jayoung
author_facet Kim, Wun-Jae
Jin, Peng
Kim, Won Hwa
Kim, Jayoung
author_sort Kim, Wun-Jae
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spelling pubmed-71891042020-05-06 Utilizing machine learning to discern hidden clinical values from big data in urology Kim, Wun-Jae Jin, Peng Kim, Won Hwa Kim, Jayoung Investig Clin Urol Editorial The Korean Urological Association 2020-05 2020-04-27 /pmc/articles/PMC7189104/ /pubmed/32377598 http://dx.doi.org/10.4111/icu.2020.61.3.239 Text en © The Korean Urological Association, 2020 http://creativecommons.org/licenses/by-nc/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Editorial
Kim, Wun-Jae
Jin, Peng
Kim, Won Hwa
Kim, Jayoung
Utilizing machine learning to discern hidden clinical values from big data in urology
title Utilizing machine learning to discern hidden clinical values from big data in urology
title_full Utilizing machine learning to discern hidden clinical values from big data in urology
title_fullStr Utilizing machine learning to discern hidden clinical values from big data in urology
title_full_unstemmed Utilizing machine learning to discern hidden clinical values from big data in urology
title_short Utilizing machine learning to discern hidden clinical values from big data in urology
title_sort utilizing machine learning to discern hidden clinical values from big data in urology
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7189104/
https://www.ncbi.nlm.nih.gov/pubmed/32377598
http://dx.doi.org/10.4111/icu.2020.61.3.239
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