Abstract
We present a hybrid constructive model of induction. As a benchmark we used a database of rheumatoid arthritis patients. Combining Machine Learning and Clustering algorithms we obtained clinical prediction rules. Our model creates new features thru clustering methods, improving traditional ML methods.
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Sanandrés, J.A., Maojo, V., Crespo, J., Gómez, A. (2001). A clustering-based constructive induction method and its application to rheumatoid arthritis . In: Quaglini, S., Barahona, P., Andreassen, S. (eds) Artificial Intelligence in Medicine. AIME 2001. Lecture Notes in Computer Science(), vol 2101. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48229-6_8
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DOI: https://doi.org/10.1007/3-540-48229-6_8
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