• Hospital Dataset
• Other Applications

CARDIOLOGY Interval-valued Dataset

Data have been supplied in 1997 by the Nephrology Unit of the Hospital Valle del Nalón in Langreo (Asturias, Spain). The collected data correspond to the "range of the cardiac frequency over a day'', the “range of systolic blood pressure over the same day”, and the “range of diastolic blood pressure over the same day”, and the observed over a sample of 59 patients (suffering different types of illness) from a population of patients who are hospitalized per year in a given area.

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This dataset have appear in the following references:

• Lubiano, M.A. (1999) Medidas de Variación de Elementos Aleatorios Imprecisos. PhD Thesis. University of Oviedo.
• Gil, M.A.; Lubiano, M.A.; Montenegro, M.; López, M.T. (2002). Least squares fitting of an affine function and strength of association for interval-valued data. Metrika, Vol. 56, nº 2, pp. 97-111. (doi:10.1007/s001840100160)
• Montenegro, M. (2003) [13:59:57] Maria Angeles Gil - Despacho: Estadística con Datos Imprecisos Basada en una Métrica Generalizada. PhD Thesis. University of Oviedo.
• Montenegro, M.; González-Rodríguez, G.; Colubi, A.; Gil, M.A. (2004). Bootstrap approach to test the linear independence between interval-valued random sets. In Soft Methodology and Random Information Systems (López-Díaz, M., Gil, M.A., Grzegorzewski, P., Hryniewicz, O., Lawry, J., Eds.). Advances in Soft Computing, Vol. 26, Springer-Verlag, pp. 431-438.
• Gil, M.A.; González-Rodríguez, G.; Colubi, A.; Montenegro, M. (2007). Testing linear independence in linear models with interval-valued data. Computational Statistics and Data Analysis. Vol. 51, nº 6, pp. 3002-3015. (doi:10.1016/j.csda.2006.01.015)
• González-Rodríguez, G.; Blanco, A.; Corral, N.; Colubi, A. (2007). Least squares estimation of linear regression models for convex compact random sets. Advances in Data Analysis and Classification. Vol. 1, nº 1, pp. 67-81. (doi:10.1007/s11634-006-0003-7)
• Blanco, A.; Corral, N.; González-Rodríguez, G.; Lubiano, M.A. (2008). Some properties of the d_K-variance for interval-valued random sets. In Soft Methods for Handling Variability and Imprecision (Dubois, D., Lubiano, M.A., Prade, H., Gil, M.A.; Grzegorzewski, P., Hryniewicz, O., Eds.). Advances in Soft Computing, Vol. 48, Springer Berlin/Heidelberg, pp. 331-337. (doi:10.1007/978-3-540-85027-4_40)
• Fagundes, R.A.A.; de Souza, R.M.C.R.; Cysneiros, F.J.A. (2009). A Robust Prediction Method for Interval Symbolic Data. In Proceedings of the 9th International Conference on Intelligent Systems Design and Applications (ISDA'09, Pisa, Italy), pp. 1019-1024. (doi:10.1109/ISDA.2009.36)
• Blanco-Fernández, A., Corral, N., González-Rodríguez, G. (2011). Estimation of a flexible simple linear model for interval data based on set arithmetic. Computational Statistics and Data Analysis. Vol. 55(9), pp. 2568–2578. (doi:10.1016/j.csda.2011.03.005)
• Blanco-Fernández, A.; Colubi, A.; González-Rodríguez, G. (2011). Simultaneous confidence regions in a flexible linear regression for random intervals: a bootstrap approach. In Abstracts of the 58th Session of the International Statistical Institute (ISI 2011, Dublin, Ireland), CPS065-01.
• Sinova, B.; Colubi, A.; Gil, M.A.; González-Rodríguez, G. (2012). Interval arithmetic-based linear regression between interval data: Discussion and sensitivity analysis on the choice of the metric. Information Sciences. Vol. 199, pp. 109-124. (doi:10.1016/j.ins.2012.02.040)
• Su, S.-F.; Chuang, C.-C.; Tao, C. W.; Jeng, J.-T.; Hsiao, C.-C. (2012). adial Basis Function Networks With Linear Interval Regression Weights for Symbolic Interval Data. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics. Vol. 42(1), pp. 69-80. (doi:10.1109/TSMCB.2011.2161468)

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