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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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| 出版年: | PLoS One |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2020
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| 主題: | |
| オンライン･アクセス: | 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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