Impact of time series discretization on intensive care burn unit survival classification

Author:

Casanova Isidoro J.,Campos ManuelORCID,Juarez Jose M.,Fernandez-Fernandez-Arroyo Antonio,Lorente Jose A.

Funder

Ministerio de Economía y Competitividad

European Regional Development Fund (EFRD)

Instituto de Salud Carlos III

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference35 articles.

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2. Alcalá-Fdez, J., Sánchez, L., García, S., del Jesus, M.J., Ventura, S., Garrell, J.M., Otero, J., Romero, C., Bacardit, J., Rivas, V.M., Fernández, J.C., Herrera, F.: KEEL: a software tool to assess evolutionary algorithms to data mining problems. Soft Comput. 13(3), 307–318 (2009)

3. Azulay, R. et al.: Discretization of medical time series—A comparative study. In: Proceedings of the IDAMAP 2007, Amsterdam, The Netherlands, (2007)

4. Casanova, I.J., Campos, M., Juarez, J.M., Fernandez-Fernandez-Arroyo, A., Lorente, J.A.: Using multivariate sequential patterns to improve survival prediction in Intensive Care Burn Unit. In: Proceedings of the 15th Conference on Artificial Intelligence in Medicine, AIME 2015, pp. 277–286. Pavia, Italy (2015)

5. Casanova, I.J., Campos, M., Juarez, J.M., Fernandez-Fernandez-Arroyo, A., Lorente, J.A.: Impact of discretization with multivariate sequential patterns to do the classification of the survival prediction in Intensive Care Burn Unit. In: Proceedings of the VIII Simposio Teoría y Aplicaciones de Minería de Datos (TAMIDA 2016). CAEPIA 2016, pages 847–856. Salamanca, Spain (2016)

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