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Increasing efficiency of SVMp+ for handling missing values in healthcare prediction
Missing data presents a challenge for machine learning applications specifically when utilizing electronic health records to develop clinical decision support systems. The lack of these values is due in part to the complex nature of clinical data in which the content is personalized to each patient....
Autores principales: | Zhang, Yufeng, Gao, Zijun, Wittrup, Emily, Gryak, Jonathan, Najarian, Kayvan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10309617/ https://www.ncbi.nlm.nih.gov/pubmed/37384608 http://dx.doi.org/10.1371/journal.pdig.0000281 |
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