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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....

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Detalles Bibliográficos
Autores principales: Zhang, Yufeng, Gao, Zijun, Wittrup, Emily, Gryak, Jonathan, Najarian, Kayvan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
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