Augmenting LASSO regression with decision tree for identifying the correlation of genetic polymorphism and adverse events.
Yi-fei CaiZhaohui LiangTong HeGang ZhangJimmy Xiangji HuangXing ZengPublished in: BIBM (2013)
Keyphrases
- decision trees
- linear regression
- ridge regression
- model selection
- regression model
- logistic regression
- regression coefficients
- machine learning
- regression trees
- event detection
- tree induction
- genetic algorithm
- predictive accuracy
- regression methods
- generalized linear models
- random forest
- decision tree algorithm
- simple linear
- decision tree induction
- support vector regression
- correlation coefficient
- naive bayes
- least squares
- variable selection
- regularized regression
- regression problems
- partial least squares
- event sequences
- group lasso
- acute coronary syndrome
- data sets
- feature selection
- training set
- evolutionary algorithm
- elastic net
- regression algorithm
- cross validation
- human activities
- classification models
- regression analysis
- temporal patterns