Application of machine learning missing data imputation techniques in clinical decision making: taking the discharge assessment of patients with spontaneous supratentorial intracerebral hemorrhage as an example

BACKGROUND: There are often many missing values in medical data, which directly affect the accuracy of clinical decision making. Discharge assessment is an important part of clinical decision making. Taking the discharge assessment of patients with spontaneous supratentorial intracerebral hemorrhage...

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Detalles Bibliográficos
Autores principales: Wang, Huimin, Tang, Jianxiang, Wu, Mengyao, Wang, Xiaoyu, Zhang, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756624/
https://www.ncbi.nlm.nih.gov/pubmed/35027065
http://dx.doi.org/10.1186/s12911-022-01752-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756624/
https://www.ncbi.nlm.nih.gov/pubmed/35027065
http://dx.doi.org/10.1186/s12911-022-01752-6

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