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Predicting Missing Values in Medical Data Via XGBoost Regression
The data in a patient’s laboratory test result is a notable resource to support clinical investigation and enhance medical research. However, for a variety of reasons, this type of data often contains a non-trivial number of missing values. For example, physicians may neglect to order tests or docum...
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| Publicado no: | J Healthc Inform Res |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer International Publishing
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7709926/ https://ncbi.nlm.nih.gov/pubmed/33283143 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s41666-020-00077-1 |
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