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Utility of machine learning in developing a predictive model for early-age-onset colorectal neoplasia using electronic health records.
<h4>Background and aims</h4>The incidence of colorectal cancer (CRC) is increasing in adults younger than 50, and early screening remains challenging due to cost and under-utilization. To identify individuals aged 35-50 years who may benefit from early screening, we developed a predictio...
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| Main Authors: | , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science (PLoS)
2022-01-01
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| Colecção: | PLoS ONE |
| Acesso em linha: | https://doi.org/10.1371/journal.pone.0265209 |
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