A novel evolutionary ensemble prediction model using harmony search and stacking for diabetes diagnosis.
Zaiheng ZhangYanjie LuMingtao YeWanyu HuangLixu JinGuodao ZhangYisu GeAlireza BaghbanQiwen ZhangHaiou WangWenzong ZhuPublished in: J. King Saud Univ. Comput. Inf. Sci. (2024)
Keyphrases
- prediction model
- harmony search
- bp neural network
- ensemble learning
- generalization ability
- genetic algorithm
- harmony search algorithm
- base classifiers
- neural network
- cardiovascular disease
- fault diagnosis
- meta heuristic algorithm
- metaheuristic
- regression model
- optimization algorithm
- differential evolution
- medical diagnosis
- combining classifiers
- wavelet neural network
- evolutionary computation
- ensemble methods
- threshold accepting
- simulated annealing algorithm
- response surface methodology
- decision trees
- optimization method
- health care
- fitness function
- hill climbing
- ls svm
- learning algorithm
- risk factors
- combining multiple
- knowledge base
- genetic programming
- random forest
- tabu search
- stepwise regression