Cargando…
Comparing Logistic Regression Models with Alternative Machine Learning Methods to Predict the Risk of Drug Intoxication Mortality
(1) Medical research has shown an increasing interest in machine learning, permitting massive multivariate data analysis. Thus, we developed drug intoxication mortality prediction models, and compared machine learning models and traditional logistic regression. (2) Categorized as drug intoxication,...
Autores principales: | Choi, YoungJin, Boo, YooKyung |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7037603/ https://www.ncbi.nlm.nih.gov/pubmed/32023993 http://dx.doi.org/10.3390/ijerph17030897 |
Ejemplares similares
-
Comparison of mortality prediction models for road traffic accidents: an ensemble technique for imbalanced data
por: Boo, Yookyung, et al.
Publicado: (2022) -
Comparison of Prediction Models for Mortality Related to Injuries from Road Traffic Accidents after Correcting for Undersampling
por: Boo, Yookyung, et al.
Publicado: (2021) -
Logistic Regression for Machine Learning in Process Tomography
por: Rymarczyk, Tomasz, et al.
Publicado: (2019) -
Machine Learning: An Approach in Identifying Risk Factors for Coercion Compared to Binary Logistic Regression
por: Hotzy, Florian, et al.
Publicado: (2018) -
Comparison of risk models for mortality and cardiovascular events between machine learning and conventional logistic regression analysis
por: Suzuki, Shinya, et al.
Publicado: (2019)