Comparison of machine learning methods with logistic regression analysis in creating predictive models for risk of critical in-hospital events in COVID-19 patients on hospital admission.
Aaron W. SieveringPeter WohlmuthNele GeßlerMelanie A. GunawardeneKlaus HerrlingerBerthold BeinDirk ArnoldMartin BergmannLorenz NowakChristian GloecknerIna KochMartin BachmannChristoph U. HerbornAxel StangPublished in: BMC Medical Informatics Decis. Mak. (2022)
Keyphrases
- machine learning methods
- regression analysis
- high risk
- emergency department
- explanatory variables
- machine learning
- machine learning approaches
- machine learning algorithms
- intensive care
- prognostic models
- vital signs
- statistical methods
- risk factors
- linear regression models
- intensive care units
- health care
- patient records
- regression model
- ensemble methods
- independent variables
- probabilistic model
- disease outbreaks
- acute coronary syndrome
- learning algorithm
- medical doctors
- statistical analysis
- patient care
- data mining
- statistical models
- intensive care unit
- logistic regression
- statistical tests