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Increasing the Density of Laboratory Measures for Machine Learning Applications
Background. The imputation of missingness is a key step in Electronic Health Records (EHR) mining, as it can significantly affect the conclusions derived from the downstream analysis in translational medicine. The missingness of laboratory values in EHR is not at random, yet imputation techniques te...
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| Опубликовано в: : | J Clin Med |
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| Главные авторы: | , , , , , , , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7795258/ https://ncbi.nlm.nih.gov/pubmed/33396741 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/jcm10010103 |
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