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A filter approach for feature selection in classification: application to automatic atrial fibrillation detection in electrocardiogram recordings
BACKGROUND: In high-dimensional data analysis, the complexity of predictive models can be reduced by selecting the most relevant features, which is crucial to reduce data noise and increase model accuracy and interpretability. Thus, in the field of clinical decision making, only the most relevant fe...
Wedi'i Gadw mewn:
| Cyhoeddwyd yn: | BMC Med Inform Decis Mak |
|---|---|
| Prif Awduron: | , , , , |
| Fformat: | Artigo |
| Iaith: | Inglês |
| Cyhoeddwyd: |
BioMed Central
2021
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| Pynciau: | |
| Mynediad Ar-lein: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8094578/ https://ncbi.nlm.nih.gov/pubmed/33947379 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-021-01427-8 |
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