Modelling Asthma Patients' Responsiveness to Treatment Using Feature Selection and Evolutionary Computation.
Alejandro Lopez RinconDaphne S. RoozendaalHilde M. SpierenburgAsta L. HolmRenee MetcalfPaula Perez-PardoAletta D. KraneveldAlberto TondaPublished in: EvoApplications (2021)
Keyphrases
- evolutionary computation
- feature selection
- disease progression
- chronic disease
- evolutionary algorithm
- medical treatment
- computational intelligence
- genetic programming
- cancer patients
- medical care
- machine learning and data mining
- emergency department
- medical doctors
- health care
- text categorization
- optimisation problems
- fitness function
- swarm intelligence
- prognostic factors
- ischemic stroke
- genetic algorithm
- clinical trials
- fuzzy systems
- evolutionary design
- prostate cancer
- cooperative coevolution
- blood pressure
- acute myeloid
- evolutionary learning
- clinical data
- feature set
- fuzzy logic
- machine learning
- text classification
- gene expression programming
- estimation of distribution algorithms
- support vector machine
- classification accuracy
- artificial intelligence
- nature inspired algorithms
- neural network
- real time