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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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Опубликовано в: :PLoS One
Главные авторы: Santhanam, Prasanna, Nath, Tanmay, Mohammad, Faiz Khan, Ahima, Rexford S.
Формат: Artigo
Язык:Inglês
Опубликовано: Public Library of Science 2020
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Online-ссылка: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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