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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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| Yayımlandı: | PLoS One |
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| Asıl Yazarlar: | , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Public Library of Science
2020
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| Konular: | |
| Online Erişim: | 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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