Using Support Vector Machines to Detect Therapeutically Incorrect Measurements by the MiniMed CGMS®
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Josep Vehí | Jorge Bondia | Cristina Tarín | Winston García-Gabin | Eduardo Esteve | José Manuel Fernández-Real | Wifredo Ricart
[1] Andreas Christmann,et al. Support vector machines , 2008, Data Mining and Knowledge Discovery Handbook.
[2] R. Mazze,et al. Making sense of glucose monitoring technologies: from SMBG to CGM. , 2005, Diabetes technology & therapeutics.
[3] Boris Kovatchev,et al. Evaluating the clinical accuracy of two continuous glucose sensors using continuous glucose-error grid analysis. , 2005, Diabetes care.
[4] Sabine Van Huffel,et al. Bagging Linear Sparse Bayesian Learning Models for Variable Selection in Cancer Diagnosis , 2007, IEEE Transactions on Information Technology in Biomedicine.
[5] B H Ginsberg,et al. A new consensus error grid to evaluate the clinical significance of inaccuracies in the measurement of blood glucose. , 2000, Diabetes care.
[6] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[7] D. Cox,et al. Evaluating the accuracy of continuous glucose-monitoring sensors: continuous glucose-error grid analysis illustrated by TheraSense Freestyle Navigator data. , 2004, Diabetes care.
[8] P. Böhme,et al. Clinical performance of CGMS in type 1 diabetic patients treated by continuous subcutaneous insulin infusion using insulin analogs. , 2003, Diabetes care.
[9] J M Bland,et al. Statistical methods for assessing agreement between two methods of clinical measurement , 1986 .
[10] J. DeVries,et al. A Critical Appraisal of the Continuous Glucose–Error Grid Analysis , 2007, Diabetes Care.
[11] Robert Tibshirani,et al. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition , 2001, Springer Series in Statistics.
[12] Nelson G. Durdle,et al. A support vector machines classifier to assess the severity of idiopathic scoliosis from surface topography , 2006, IEEE Transactions on Information Technology in Biomedicine.
[13] D. Cox,et al. Evaluating Clinical Accuracy of Systems for Self-Monitoring of Blood Glucose , 1987, Diabetes Care.