Transformation of Temperature Timeseries into Features that Characterize Patients with Diabetic Autonomic Nerve Disorder
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Myra Spiliopoulou | Rohith Ravindran | Uli Niemann | Silke Klose | Peter R. Mertens | Antao Ming | Isabell Walter | M. Spiliopoulou | Uli Niemann | P. Mertens | S. Klose | Isabell Walter | Antao Ming | Rohith Ravindran
[1] E. Boyko,et al. Skin temperature in the neuropathic diabetic foot. , 2001, Journal of diabetes and its complications.
[2] George C. Runger,et al. A time series forest for classification and feature extraction , 2013, Inf. Sci..
[3] C. M. Agrawal,et al. Home monitoring of foot skin temperatures to prevent ulceration. , 2004, Diabetes care.
[4] A. Anguera,et al. Applying data mining techniques to medical time series: an empirical case study in electroencephalography and stabilometry , 2016, Computational and structural biotechnology journal.
[5] Jason Lines,et al. A shapelet transform for time series classification , 2012, KDD.
[6] Li Wei,et al. Semi-supervised time series classification , 2006, KDD '06.
[7] Ralf Lobmann,et al. Neuropathy and Diabetic Foot Syndrome , 2016, International journal of molecular sciences.
[8] George Manis,et al. Heartbeat Time Series Classification With Support Vector Machines , 2009, IEEE Transactions on Information Technology in Biomedicine.
[9] Eamonn J. Keogh,et al. Time series shapelets: a novel technique that allows accurate, interpretable and fast classification , 2010, Data Mining and Knowledge Discovery.
[10] S. Pendsey. Understanding diabetic foot , 2010, International journal of diabetes in developing countries.
[11] David George Lindsay,et al. Effective Probability Forecasting for Time Series Data Using Standard Machine Learning Techniques , 2005, ICAPR.
[12] Roy Tranberg,et al. An innovative sealed shoe to off-load and heal diabetic forefoot ulcers – a feasibility study , 2017, Diabetic foot & ankle.
[13] E. Fernholz. Stochastic Portfolio Theory , 2002 .
[14] Myra Spiliopoulou,et al. Comparative Clustering of Plantar Pressure Distributions in Diabetics with Polyneuropathy May Be Applied to Reveal Inappropriate Biomechanical Stress , 2016, PloS one.
[15] Panagiotis Papapetrou,et al. Forests of Randomized Shapelet Trees , 2015, SLDS.
[16] Francisco-J Renero-C,et al. The thermoregulation of healthy individuals, overweight–obese, and diabetic from the plantar skin thermogram: a clue to predict the diabetic foot , 2017, Diabetic foot & ankle.
[17] Hui Ding,et al. Querying and mining of time series data: experimental comparison of representations and distance measures , 2008, Proc. VLDB Endow..