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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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| Publicado en: | PLoS One |
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| Autores principales: | , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | 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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