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Advisor(s)
Abstract(s)
Predictions made by using machine learning classification models are recurrent in many research fields for a variety of reasons. In some cases, feature selection can effi- ciently improve the accuracy of classifications, while reducing the computational requirements. However, some predictive studies are characterized by a high dimensionality or based on small datasets.
Description
Keywords
Feature selection Small databases Classification radiotherapy Xerostomia
Citation
Soares I., Dias J., Rocha H., do Carmo Lopes M., Ferreira B. (2016) Feature Selection in Small Databases: A Medical-Case Study. In: Kyriacou E., Christofides S., Pattichis C. (eds) XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016. IFMBE Proceedings, vol 57. Springer, Cham. https://doi.org/10.1007/978-3-319-32703-7_158
Publisher
Springer