Abstract
Head and neck squamous cell carcinoma (HNSCC) has already been proved to be linked with smoking and alcohol drinking habits. However the individual risk could be modified by genetic polymorphisms of enzymes involved in the metabolism of tobacco carcinogens and in the DNA repair mechanisms. To study this relationship, a data set comprising clinical (age, smoke, alcohol) and genetic data (the genetic polymorphism of 11 genes) was built; an XCS system was then developed in order to analyze it. XCS appears well suited to this problem since it can seamlessly accept missing values, and be adapted to deal with different data types (real, integer, and class). Moreover, it produces human-readable rules - which is fundamental in order to make the system useful to physicians. First results showed interesting rules, suggesting that this approach is viable and deserves deeper research.
This work has been carried out in the framework of the BIOPATTERN European Network of Excellence.
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Baronti, F., Maggini, V., Micheli, A., Passaro, A., Rossi, A.M., Starita, A. (2005). A Preliminary Investigation on Connecting Genotype to Oral Cancer Development through XCS. In: Apolloni, B., Marinaro, M., Tagliaferri, R. (eds) Biological and Artificial Intelligence Environments. Springer, Dordrecht. https://doi.org/10.1007/1-4020-3432-6_2
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DOI: https://doi.org/10.1007/1-4020-3432-6_2
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