TY - JOUR AU - Izenberg, A. AU - Perkins, B. A. AU - Bril, V. PY - 2015 DA - 2015// TI - Diabetic neuropathies JO - Semin Neurol VL - 35 UR - https://doi.org/10.1055/s-0035-1558972 DO - 10.1055/s-0035-1558972 ID - Izenberg2015 ER - TY - JOUR AU - Zilliox, L. AU - Russell, J. W. PY - 2011 DA - 2011// TI - Treatment of diabetic sensory polyneuropathy JO - Curr Treatment Options Neurol VL - 13 UR - https://doi.org/10.1007/s11940-011-0113-1 DO - 10.1007/s11940-011-0113-1 ID - Zilliox2011 ER - TY - JOUR AU - Wiggin, T. D. AU - Sullivan, K. A. AU - Pop-Busui, R. AU - Amato, A. AU - Sima, A. A. F. AU - Feldman, E. L. PY - 2009 DA - 2009// TI - Elevated triglycerides correlate with progression of diabetic neuropathy JO - Diabetes VL - 58 UR - https://doi.org/10.2337/db08-1771 DO - 10.2337/db08-1771 ID - Wiggin2009 ER - TY - JOUR AU - Kavakiotis, I. AU - Tsave, O. AU - Salifoglou, A. AU - Maglaveras, N. AU - Vlahavas, I. AU - Chouvarda, I. PY - 2017 DA - 2017// TI - Machine learning and data mining methods in diabetes research JO - Comput Struct Biotechnol J VL - 15 UR - https://doi.org/10.1016/j.csbj.2016.12.005 DO - 10.1016/j.csbj.2016.12.005 ID - Kavakiotis2017 ER - TY - JOUR AU - Zou, Q. AU - Qu, K. AU - Luo, Y. AU - Yin, D. AU - Ju, Y. AU - Tang, H. PY - 2018 DA - 2018// TI - Predicting diabetes mellitus with machine learning techniques JO - Front Genet VL - 9 UR - https://doi.org/10.3389/fgene.2018.00515 DO - 10.3389/fgene.2018.00515 ID - Zou2018 ER - TY - JOUR AU - Razavian, N. AU - Blecker, S. AU - Schmidt, A. M. AU - Smith-McLallen, A. AU - Nigam, S. AU - Sontag, D. PY - 2015 DA - 2015// TI - Population-level prediction of type 2 diabetes from claims data and analysis of risk factors JO - Big Data VL - 3 UR - https://doi.org/10.1089/big.2015.0020 DO - 10.1089/big.2015.0020 ID - Razavian2015 ER - TY - JOUR AU - Oh, W. PY - 2016 DA - 2016// TI - Type 2 diabetes mellitus trajectories and associated risks JO - Big Data VL - 4 UR - https://doi.org/10.1089/big.2015.0029 DO - 10.1089/big.2015.0029 ID - Oh2016 ER - TY - CHAP AU - Zhang, X. PY - 2017 DA - 2017// TI - Support vector machines BT - Encyclopedia of machine learning and data mining PB - Springer US CY - Boston, MA UR - https://doi.org/10.1007/978-1-4899-7687-1_810 DO - 10.1007/978-1-4899-7687-1_810 ID - Zhang2017 ER - TY - BOOK PY - 2017 DA - 2017// TI - Encyclopedia of machine learning and data mining PB - Springer US CY - Boston ID - ref9 ER - TY - CHAP AU - Fürnkranz, J. PY - 2017 DA - 2017// TI - Decision tree BT - Encyclopedia of machine learning and data mining PB - Springer US CY - Boston ID - Fürnkranz2017 ER - TY - JOUR AU - Bashir, S. AU - Qamar, U. AU - Khan, F. H. PY - 2016 DA - 2016// TI - IntelliHealth: a medical decision support application using a novel weighted multi-layer classifier ensemble framework JO - J Biomed Inform VL - 59 UR - https://doi.org/10.1016/j.jbi.2015.12.001 DO - 10.1016/j.jbi.2015.12.001 ID - Bashir2016 ER - TY - JOUR AU - Ozcift, A. AU - Gulten, A. PY - 2011 DA - 2011// TI - Classifier ensemble construction with rotation forest to improve medical diagnosis performance of machine learning algorithms JO - Comput Methods Programs Biomed VL - 104 UR - https://doi.org/10.1016/j.cmpb.2011.03.018 DO - 10.1016/j.cmpb.2011.03.018 ID - Ozcift2011 ER - TY - JOUR AU - Sudharsan, B. AU - Peeples, M. AU - Shomali, M. PY - 2015 DA - 2015// TI - Hypoglycemia prediction using machine learning models for patients with type 2 diabetes JO - J Diabetes Sci Technol VL - 9 UR - https://doi.org/10.1177/1932296814554260 DO - 10.1177/1932296814554260 ID - Sudharsan2015 ER - TY - JOUR AU - Olaleye, D. AU - Perkins, B. A. AU - Bril, V. PY - 2001 DA - 2001// TI - Evaluation of three screening tests and a risk assessment model for diagnosing peripheral neuropathy in the diabetes clinic JO - Diabetes Res Clin Pract VL - 54 UR - https://doi.org/10.1016/S0168-8227(01)00278-9 DO - 10.1016/S0168-8227(01)00278-9 ID - Olaleye2001 ER - TY - JOUR AU - Li, C. P. PY - 2012 DA - 2012// TI - Performance comparison between logistic regression, decision trees, and multilayer perceptron in predicting peripheral neuropathy in type 2 diabetes mellitus JO - Chin Med J (Engl) VL - 125 ID - Li2012 ER - TY - JOUR AU - Dagliati, A. PY - 2018 DA - 2018// TI - Machine learning methods to predict diabetes complications JO - J Diabetes Sci Technol VL - 12 UR - https://doi.org/10.1177/1932296817706375 DO - 10.1177/1932296817706375 ID - Dagliati2018 ER - TY - JOUR AU - Huang, G. -. M. AU - Huang, K. -. Y. AU - Lee, T. -. Y. AU - Weng, J. PY - 2015 DA - 2015// TI - An interpretable rule-based diagnostic classification of diabetic nephropathy among type 2 diabetes patients JO - BMC Bioinformatics VL - 16 UR - https://doi.org/10.1186/1471-2105-16-S1-S5 DO - 10.1186/1471-2105-16-S1-S5 ID - Huang2015 ER - TY - JOUR AU - Lagani, V. PY - 2015 DA - 2015// TI - Development and validation of risk assessment models for diabetes-related complications based on the DCCT/EDIC data JO - J Diabetes Complications VL - 29 UR - https://doi.org/10.1016/j.jdiacomp.2015.03.001 DO - 10.1016/j.jdiacomp.2015.03.001 ID - Lagani2015 ER - TY - JOUR AU - Lagani, V. PY - 2015 DA - 2015// TI - Realization of a service for the long-term risk assessment of diabetes-related complications JO - J Diabetes Complications VL - 29 UR - https://doi.org/10.1016/j.jdiacomp.2015.03.011 DO - 10.1016/j.jdiacomp.2015.03.011 ID - Lagani2015 ER - TY - JOUR AU - Pedregosa, F. PY - 2011 DA - 2011// TI - Scikit-learn: machine learning in Python JO - J Mach Learn Res VL - 12 ID - Pedregosa2011 ER - TY - JOUR AU - Oliveira, F. H. M. AU - MacHado, A. R. P. AU - Andrade, A. O. PY - 2018 DA - 2018// TI - On the use of t -distributed stochastic neighbor embedding for data visualization and classification of individuals with Parkinson’s disease JO - Comput Math Methods Med VL - 2018 UR - https://doi.org/10.1155/2018/8019232 DO - 10.1155/2018/8019232 ID - Oliveira2018 ER - TY - BOOK AU - Sikorskiy, S. AU - Metsker, O. AU - Yakovlev, A. AU - Kovalchuk, S. PY - 2018 DA - 2018// TI - Machine learning based text mining in electronic health records: cardiovascular patient cases ID - Sikorskiy2018 ER - TY - CHAP AU - Ribeiro, M. T. AU - Singh, S. AU - Guestrin, C. PY - 2016 DA - 2016// TI - Why Should I Trust You?’: Explaining the Predictions of Any Classifier BT - Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 13–17, 2016 ID - Ribeiro2016 ER - TY - JOUR AU - Martin, J. AU - Bath, P. M. AU - Burr, M. PY - 1991 DA - 1991// TI - Influence of platelet size on outcome after myocardial infarction JO - Lancet VL - 338 UR - https://doi.org/10.1016/0140-6736(91)92719-I DO - 10.1016/0140-6736(91)92719-I ID - Martin1991 ER - TY - JOUR AU - Coban, E. AU - Bostan, F. AU - Ozdogan, M. PY - 2006 DA - 2006// TI - The mean platelet volume in subjects with impaired fasting glucose JO - Platelets VL - 17 UR - https://doi.org/10.1080/09537100500220729 DO - 10.1080/09537100500220729 ID - Coban2006 ER - TY - JOUR AU - Demirtunc, R. AU - Duman, D. AU - Basar, M. PY - 2009 DA - 2009// TI - The relationship between glycemic control and platelet activity in type 2 diabetes mellitus JO - J Diabetes Complications VL - 23 UR - https://doi.org/10.1016/j.jdiacomp.2008.01.006 DO - 10.1016/j.jdiacomp.2008.01.006 ID - Demirtunc2009 ER - TY - JOUR AU - Ziegler, D. AU - Siekierka-Kleiser, E. PY - 2005 DA - 2005// TI - Validation of a novel screening device (NeuroQuick) for quantitative assessment of small nerve fiber dysfunction as an early feature of diabetic polyneuropathy JO - Am Diabetes Assoc VL - 28 ID - Ziegler2005 ER - TY - JOUR AU - Lewis, E. J. H. PY - 2020 DA - 2020// TI - Rapid corneal nerve fiber loss: a marker of diabetic neuropathy onset and progression JO - Diabetes Care VL - 43 UR - https://doi.org/10.2337/dc19-0951 DO - 10.2337/dc19-0951 ID - Lewis2020 ER - TY - JOUR AU - Zakrzewski, J. AU - Zakrzewska, K. AU - Pluta, K. AU - Nowak, O. AU - Miloszewska-Paluch, A. PY - 2019 DA - 2019// TI - Ultrasound elastography in the evaluation of peripheral neuropathies: a systematic review of the literature JO - Polish J Radiol VL - 84 UR - https://doi.org/10.5114/pjr.2019.91439 DO - 10.5114/pjr.2019.91439 ID - Zakrzewski2019 ER - TY - STD TI - Groener JB, Jende JME, Kurz FT, et al. Understanding diabetic neuropathy: from subclinical nerve lesions to severe nerve Fiber deficits: a cross-sectional study in patients with type 2 diabetes and healthy controls. Diabetes. 2020;69(3):436–47. https://doi.org/10.2337/db19-0197. ID - ref30 ER - TY - STD TI - Kemp HI, Eliahoo J, Vase L, et al. Meta-analysis comparing placebo responses in clinical trials of painful HIV-associated sensory neuropathy and diabetic polyneuropathy. Scand J Pain. 2020;20(3):439–49. https://doi.org/10.1515/sjpain-2019-0152. ID - ref31 ER - TY - JOUR AU - Alam, U. AU - Sloan, G. AU - Tesfaye, S. PY - 2020 DA - 2020// TI - Treating pain in diabetic neuropathy: current and developmental drugs JO - Drugs VL - 80 UR - https://doi.org/10.1007/s40265-020-01259-2 DO - 10.1007/s40265-020-01259-2 ID - Alam2020 ER - TY - BOOK AU - Murdoch, W. J. AU - Singh, C. AU - Kumbier, K. AU - Abbasi-Asl, R. AU - Yu, B. PY - 2019 DA - 2019// TI - Interpretable machine learning: definitions, methods, and applications ID - Murdoch2019 ER - TY - JOUR AU - Fitri, A. AU - Sjahrir, H. AU - Bachtiar, A. AU - Ichwan, M. AU - Fitri, F. I. AU - Rambe, A. S. PY - 2019 DA - 2019// TI - Predictive model of diabetic polyneuropathy severity based on vitamin D level JO - Open Access Maced J Med Sci VL - 7 UR - https://doi.org/10.3889/oamjms.2019.454 DO - 10.3889/oamjms.2019.454 ID - Fitri2019 ER - TY - JOUR AU - Kazemi, M. AU - Moghimbeigi, A. AU - Kiani, J. AU - Mahjub, H. AU - Faradmal, J. PY - 2016 DA - 2016// TI - Diabetic peripheral neuropathy class prediction by multicategory support vector machine model: a cross-sectional study JO - Epidemiol Health VL - 38 UR - https://doi.org/10.4178/epih.e2016011 DO - 10.4178/epih.e2016011 ID - Kazemi2016 ER -