Preeclampsia Risk Prediction Using Machine Learning Methods Trained on Synthetic Data.
Magdalena Mazur-MileckaNatalia KowalczykKinga JaguszewskaDorota ZamkowskaDariusz WójcikKrzysztof PreisHenriette SkovStefan Rahr WagnerPuk SandagerMilena SobotkaJacek RuminskiPublished in: PCBBE (2023)
Keyphrases
- synthetic data
- real world
- prediction accuracy
- data sets
- prediction model
- real image data
- elman network
- prediction algorithm
- decision making
- mri data
- svm classifier
- real time
- early warning
- risk analysis
- risk assessment
- risk management
- risk factors
- multi layer perceptron
- prediction error
- high risk
- fully automatic
- mr images
- portfolio optimization
- machine learning
- artificial neural networks