A new analytical framework for missing data imputation and classification with uncertainty: Missing data imputation and heart failure readmission prediction

BACKGROUND: The wide adoption of electronic health records (EHR) system has provided vast opportunities to advance health care services. However, the prevalence of missing values in EHR system poses a great challenge on data analysis to support clinical decision-making. The objective of this study i...

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Detalles Bibliográficos
Autores principales: Hu, Zhiyong, Du, Dongping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7505424/
https://www.ncbi.nlm.nih.gov/pubmed/32956366
http://dx.doi.org/10.1371/journal.pone.0237724

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7505424/
https://www.ncbi.nlm.nih.gov/pubmed/32956366
http://dx.doi.org/10.1371/journal.pone.0237724

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