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Artificial intelligence may offer insight into factors determining individual TSH level

The factors that determine Serum Thyrotropin (TSH) levels have been examined through different methods, using different covariates. However, the use of machine learning methods has so far not been studied in population databases like NHANES (National Health and Nutritional Examination Survey) to pre...

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Detalles Bibliográficos
Publicado en:PLoS One
Main Authors: Santhanam, Prasanna, Nath, Tanmay, Mohammad, Faiz Khan, Ahima, Rexford S.
Formato: Artigo
Idioma:Inglês
Publicado: Public Library of Science 2020
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7239447/
https://ncbi.nlm.nih.gov/pubmed/32433694
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0233336
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