Predicting hypertensive disorders in high-risk pregnancy using the random forest approach.
Mário W. L. MoreiraJoel J. P. C. RodriguesAntonio M. B. OliveiraKashif SaleemAugusto José Venâncio NetoPublished in: ICC (2017)
Keyphrases
- random forest
- high risk
- risk factors
- random forests
- decision trees
- feature set
- patient groups
- risk assessment
- multi label
- ensemble methods
- statistical methods
- prostate cancer
- decision tree learning algorithms
- data sets
- ensemble classifier
- risk management
- machine learning methods
- image analysis
- data mining
- neural network