Automated Mortality Prediction in Critically-ill Patients with Thrombosis using Machine Learning.
Vasiliki DanilatouDespoina AntonakakiChristos TzagkarakisAlexandros KanterakisVasilios KatosTheodoros KostoulasPublished in: BIBE (2020)
Keyphrases
- machine learning
- prognostic models
- intensive care
- prediction accuracy
- survival analysis
- early diagnosis
- learning algorithm
- prediction algorithm
- machine learning methods
- patient outcomes
- acute myocardial infarction
- data mining
- septic shock
- early detection
- artificial intelligence
- feature selection
- information extraction
- machine learning algorithms
- decision trees
- predictive modeling
- clinical data
- medical data
- prediction error
- logistic regression
- prediction model
- computer aided
- data analysis
- text classification
- computer vision
- statistical methods
- risk factors
- text mining
- decision support system
- support vector machine
- computer science
- healthy controls
- traumatic brain injury
- decision support