Exploiting mutual information for the imputation of static and dynamic mixed-type clinical data with an adaptive k-nearest neighbours approach

BACKGROUND: Clinical registers constitute an invaluable resource in the medical data-driven decision making context. Accurate machine learning and data mining approaches on these data can lead to faster diagnosis, definition of tailored interventions, and improved outcome prediction. A typical issue...

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Detalles Bibliográficos
Autores principales: Tavazzi, Erica, Daberdaku, Sebastian, Vasta, Rosario, Calvo, Andrea, Chiò, Adriano, Di Camillo, Barbara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439551/
https://www.ncbi.nlm.nih.gov/pubmed/32819346
http://dx.doi.org/10.1186/s12911-020-01166-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439551/
https://www.ncbi.nlm.nih.gov/pubmed/32819346
http://dx.doi.org/10.1186/s12911-020-01166-2

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