Soares, InêsDias, JoanaRocha, HumbertoLopes, Maria do CarmoCosta Ferreira, Brigida2021-03-152021-03-152016Soares 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_158http://hdl.handle.net/10400.22/17495Predictions 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.engFeature selectionSmall databasesClassification radiotherapyXerostomiabook part10.1007/978-3-319-32703-7_158