Evaluation of the Cardiovascular Risk in Middle-aged Workers: An Artificial Neural Networks-based Approach.
Anton SelivanovAleksandr SboevSvetlana GorokhovaViktor PfafDmitry GudovskikhRoman B. RybkaAleksey SerenkoIvan MoloshnikovPublished in: ICCS (2016)
Keyphrases
- artificial neural networks
- risk factors
- computational intelligence
- using artificial neural networks
- information technology
- decision making
- multilayer perceptron
- neural network
- high risk
- evaluation method
- genetic algorithm ga
- case study
- back propagation
- soft computing
- risk management
- risk assessment
- search engine
- machine learning
- real time
- early warning
- minimum risk