Predicting survival in malignant skin melanoma using Bayesian networks automatically induced by genetic algorithms. An empirical comparison between different approaches.

Abstract excerpt

In this work we introduce a methodology based on genetic algorithms for the automatic induction of Bayesian networks from a file containing cases and variables related to the problem. The structure is learned by applying three different methods: The Cooper and Herskovits metric for a general Baye...

Topics

• Algorithms
• Artificial Intelligence
• Bayes Theorem
• Crosses, Genetic
• Databases as Topic
• Expert Systems
• Follow-Up Studies
• Forecasting
• Humans
• Markov Chains
• Melanoma
• Mutation
• Neural Networks, Computer
• Reproducibility of Results
• Skin Neoplasms
• Survival Rate