Big data ordination towards intensive care event count cases using fast computing GLLVMS

BACKGROUND: In heart data mining and machine learning, dimension reduction is needed to remove multicollinearity. Meanwhile, it has been proven to improve the interpretation of the parameter model. In addition, dimension reduction can also increase the time of computing in high dimensional data. MET...

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Detalles Bibliográficos
Autores principales: Caraka, Rezzy Eko, Chen, Rung-Ching, Huang, Su-Wen, Chiou, Shyue-Yow, Gio, Prana Ugiana, Pardamean, Bens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8939086/
https://www.ncbi.nlm.nih.gov/pubmed/35313816
http://dx.doi.org/10.1186/s12874-022-01538-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8939086/
https://www.ncbi.nlm.nih.gov/pubmed/35313816
http://dx.doi.org/10.1186/s12874-022-01538-4

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