The Effect of Data Missingness on Machine Learning Predictions of Uncontrolled Diabetes Using All of Us Data
Electronic Health Records (EHR) provide a vast amount of patient data that are relevant to predicting clinical outcomes. The inherent presence of missing values poses challenges to building performant machine learning models. This paper aims to investigate the effect of various imputation methods on...
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| Glavni autori: | , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
MDPI AG
2024-03-01
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| Serija: | BioMedInformatics |
| Teme: | |
| Online pristup: | https://www.mdpi.com/2673-7426/4/1/43 |
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