Cargando…
Construction of a predictive model based on MIV-SVR for prognosis and length of stay in patients with traumatic brain injury: Retrospective cohort study
OBJECTIVE: To investigate the mean impact value (MIV) method for discerning the most efficacious input variables for the machine learning (ML) model. Subsequently, various ML algorithms are harnessed to formulate a more accurate predictive model that can forecast both the prognosis and the length of...
Autores principales: | Pan, Yifeng, Fang, Cheng, Zhu, Xueling, Wan, Jinghai |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10695088/ http://dx.doi.org/10.1177/20552076231217814 |
Ejemplares similares
-
A Machine Learning-Based Approach to Predict Prognosis and Length of Hospital Stay in Adults and Children With Traumatic Brain Injury: Retrospective Cohort Study
por: Fang, Cheng, et al.
Publicado: (2022) -
Concordance of SVR12, SVR24 and SVR durability in Taiwanese chronic hepatitis C patients with direct-acting antivirals
por: Lin, Chuan-Pin, et al.
Publicado: (2021) -
Modified-dropless protocol (nil intraocular) for micro-incision vitrectomy surgery (MIVS): a retrospective pilot study
por: Garcia-O’Farrill, Noraliz, et al.
Publicado: (2023) -
Nonclinical and clinical pharmacological characterization of the potent and selective cathepsin K inhibitor MIV-711
por: Lindström, Erik, et al.
Publicado: (2018) -
Validation and recalibration of OxMIV in predicting violent behaviour in patients with schizophrenia spectrum disorders
por: Lamsma, Jelle, et al.
Publicado: (2022)