TY - JOUR AU - Li, X. AU - Zhao, Z. AU - Gao, C. AU - Rao, L. AU - Hao, P. AU - Jian, D. AU - Li, W. AU - Tang, H. AU - Li, M. PY - 2017 DA - 2017// TI - The diagnostic value of whole blood lncRNA ENST00000550337. 1 for prediabetes and type 2 diabetes mellitus JO - Exp Clin Endocrinol Diabetes VL - 125 UR - https://doi.org/10.1055/s-0043-100018 DO - 10.1055/s-0043-100018 ID - Li2017 ER - TY - JOUR AU - Mansoori, Z. AU - Ghaedi, H. AU - Sadatamini, M. AU - Vahabpour, R. AU - Rahimipour, A. AU - Shanaki, M. AU - Kazerouni, F. PY - 2018 DA - 2018// TI - Downregulation of long non-coding RNAs LINC00523 and LINC00994 in type 2 diabetes in an Iranian cohort JO - Mol Biol Rep VL - 45 UR - https://doi.org/10.1007/s11033-018-4276-7 DO - 10.1007/s11033-018-4276-7 ID - Mansoori2018 ER - TY - JOUR AU - Saeidi, L. AU - Ghaedi, H. AU - Sadatamini, M. AU - Vahabpour, R. AU - Rahimipour, A. AU - Shanaki, M. AU - Mansoori, Z. AU - Kazerouni, F. PY - 2018 DA - 2018// TI - Long non-coding RNA LY86-AS1 and HCG27_201 expression in type 2 diabetes mellitus JO - Mol Biol Rep VL - 45 UR - https://doi.org/10.1007/s11033-018-4429-8 DO - 10.1007/s11033-018-4429-8 ID - Saeidi2018 ER - TY - JOUR AU - Petersmann, A. AU - Nauck, M. AU - Müller-Wieland, D. AU - Kerner, W. AU - Müller, U. A. AU - Landgraf, R. AU - Freckmann, G. AU - Heinemann, L. PY - 2018 DA - 2018// TI - Definition, classification, and diagnosis of diabetes mellitus JO - Exp Clin Endocrinol Diabetes VL - 126 UR - https://doi.org/10.1055/a-0584-6223 DO - 10.1055/a-0584-6223 ID - Petersmann2018 ER - TY - JOUR AU - Armoon, B. AU - Karimy, M. PY - 2019 DA - 2019// TI - Epidemiology of childhood overweight, obesity and their related factors in a sample of preschool children from Central Iran JO - BMC Pediatr VL - 19 UR - https://doi.org/10.1186/s12887-019-1540-5 DO - 10.1186/s12887-019-1540-5 ID - Armoon2019 ER - TY - JOUR AU - Tuomilehto, J. AU - Lindström, J. AU - Eriksson, J. G. AU - Valle, T. T. AU - Hämäläinen, H. AU - Ilanne-Parikka, P. AU - Keinänen-Kiukaanniemi, S. AU - Laakso, M. AU - Louheranta, A. AU - Rastas, M. PY - 2001 DA - 2001// TI - Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance JO - N Engl J Med VL - 344 UR - https://doi.org/10.1056/NEJM200105033441801 DO - 10.1056/NEJM200105033441801 ID - Tuomilehto2001 ER - TY - JOUR AU - Guariguata, L. AU - Whiting, D. R. AU - Hambleton, I. AU - Beagley, J. AU - Linnenkamp, U. AU - Shaw, J. E. PY - 2014 DA - 2014// TI - Global estimates of diabetes prevalence for 2013 and projections for 2035 JO - Diabetes Res Clin Pract VL - 103 UR - https://doi.org/10.1016/j.diabres.2013.11.002 DO - 10.1016/j.diabres.2013.11.002 ID - Guariguata2014 ER - TY - JOUR AU - Leti, F. AU - DiStefano, J. PY - 2017 DA - 2017// TI - Long non-coding RNAs as diagnostic and therapeutic targets in type 2 diabetes and related complications JO - Genes VL - 8 UR - https://doi.org/10.3390/genes8080207 DO - 10.3390/genes8080207 ID - Leti2017 ER - TY - JOUR AU - Heydari, M. AU - Teimouri, M. AU - Heshmati, Z. AU - Alavinia, S. M. PY - 2016 DA - 2016// TI - Comparison of various classification algorithms in the diagnosis of type 2 diabetes in Iran JO - International Journal of Diabetes in Developing Countries VL - 36 UR - https://doi.org/10.1007/s13410-015-0374-4 DO - 10.1007/s13410-015-0374-4 ID - Heydari2016 ER - TY - STD TI - Perkel JM. Visiting “noncodarnia”. In: Future Science. 2013. ID - ref10 ER - TY - JOUR AU - Kapranov, P. AU - Cheng, J. AU - Dike, S. AU - Nix, D. A. AU - Duttagupta, R. AU - Willingham, A. T. AU - Stadler, P. F. AU - Hertel, J. AU - Hackermüller, J. AU - Hofacker, I. L. PY - 2007 DA - 2007// TI - RNA maps reveal new RNA classes and a possible function for pervasive transcription JO - Science VL - 316 UR - https://doi.org/10.1126/science.1138341 DO - 10.1126/science.1138341 ID - Kapranov2007 ER - TY - STD TI - Cornelis F, Martin M, Saut O, Buy X, Kind M, Palussiere J, Colin T: Precision of manual two-dimensional segmentations of lung and liver metastases and its impact on tumour response assessment using RECIST 1.1. European radiology experimental 2017, 1(1):16. ID - ref12 ER - TY - JOUR AU - Liao, M. AU - Liu, Q. AU - Li, B. AU - Liao, W. AU - Xie, W. AU - Zhang, Y. PY - 2018 DA - 2018// TI - A group of long non-coding RNAs identified by data mining can predict the prognosis of lung adenocarcinoma JO - Cancer Sci VL - 109 UR - https://doi.org/10.1111/cas.13822 DO - 10.1111/cas.13822 ID - Liao2018 ER - TY - JOUR AU - Deshpande, S. AU - Thakare, V. PY - 2010 DA - 2010// TI - Data mining system and applications: a review JO - International Journal of Distributed and Parallel systems (IJDPS) VL - 1 UR - https://doi.org/10.5121/ijdps.2010.1103 DO - 10.5121/ijdps.2010.1103 ID - Deshpande2010 ER - TY - JOUR AU - Umar Sidiq, D. AU - Aaqib, S. M. AU - Khan, R. A. PY - 2019 DA - 2019// TI - Diagnosis of various thyroid ailments using data mining classification techniques JO - Int J Sci Res Coput Sci Inf Technol VL - 5 ID - Umar Sidiq2019 ER - TY - STD TI - Zou Q, Qu K, Luo Y, Yin D, Ju Y, Tang H. Predicting diabetes mellitus with machine learning techniques. Front Genet. 2018;9. ID - ref16 ER - TY - JOUR AU - Daghistani, T. AU - Alshammari, R. PY - 2016 DA - 2016// TI - Diagnosis of diabetes by applying data mining classification techniques JO - International Journal of Advanced Computer Science and Applications (IJACSA) VL - 7 ID - Daghistani2016 ER - TY - JOUR AU - Meng, X. -. H. AU - Huang, Y. -. X. AU - Rao, D. -. P. AU - Zhang, Q. AU - Liu, Q. PY - 2013 DA - 2013// TI - Comparison of three data mining models for predicting diabetes or prediabetes by risk factors JO - Kaohsiung J Med Sci VL - 29 UR - https://doi.org/10.1016/j.kjms.2012.08.016 DO - 10.1016/j.kjms.2012.08.016 ID - Meng2013 ER - TY - JOUR AU - Wu, H. AU - Yang, S. AU - Huang, Z. AU - He, J. AU - Wang, X. PY - 2018 DA - 2018// TI - Type 2 diabetes mellitus prediction model based on data mining JO - Informatics in Medicine Unlocked VL - 10 UR - https://doi.org/10.1016/j.imu.2017.12.006 DO - 10.1016/j.imu.2017.12.006 ID - Wu2018 ER - TY - STD TI - Vijayan V, Ravikumar A: Study of data mining algorithms for prediction and diagnosis of diabetes mellitus. International journal of computer applications 2014, 95(17). ID - ref20 ER - TY - JOUR AU - Saravananathan, K. AU - Velmurugan, T. PY - 2016 DA - 2016// TI - Analyzing diabetic data using classification algorithms in data mining JO - Indian J Sci Technol VL - 9 UR - https://doi.org/10.17485/ijst/2016/v9i43/93874 DO - 10.17485/ijst/2016/v9i43/93874 ID - Saravananathan2016 ER - TY - STD TI - Nahar N, Ara F. Liver disease prediction by using different decision tree techniques. International Journal of Data Mining & Knowledge Management Process (IJDKP) Vol. 2018;8. ID - ref22 ER - TY - JOUR AU - Airola, A. AU - Pahikkala, T. AU - Waegeman, W. AU - Baets, B. AU - Salakoski, T. PY - 2011 DA - 2011// TI - An experimental comparison of cross-validation techniques for estimating the area under the ROC curve JO - Computational Statistics & Data Analysis VL - 55 UR - https://doi.org/10.1016/j.csda.2010.11.018 DO - 10.1016/j.csda.2010.11.018 ID - Airola2011 ER - TY - STD TI - Purushotham S, Tripathy B: Evaluation of classifier models using stratified tenfold cross validation techniques. In: International Conference on Computing and Communication Systems: 2011. Springer: 680–690. ID - ref24 ER - TY - STD TI - Abdar M, Kalhori SRN, Sutikno T, Subroto IMI, Arji G: Comparing Performance of Data Mining Algorithms in Prediction Heart Diseases. International Journal of Electrical & Computer Engineering (2088–8708) 2015, 5(6). ID - ref25 ER - TY - JOUR AU - Sambyal, R. S. AU - Javid, T. AU - Bansal, A. PY - 2018 DA - 2018// TI - Performance analysis of data mining classification algorithms to predict diabetes JO - International Journal of Scientific Research in Computer Science, Engineering and Information Technology VL - 4 ID - Sambyal2018 ER - TY - JOUR AU - Pradhan, M. AU - Kohale, K. AU - Naikade, P. AU - Pachore, A. AU - Palwe, E. PY - 2012 DA - 2012// TI - Design of classifier for detection of diabetes using neural network and fuzzy k-nearest neighbor algorithm JO - International Journal of Computational Engineering Research VL - 2 ID - Pradhan2012 ER - TY - STD TI - Tzeng F-Y, Ma K-L. Opening the black box-data driven visualization of neural networks: IEEE; 2005. ID - ref28 ER - TY - JOUR AU - Morán, I. AU - Akerman, İ. AU - Bunt, M. AU - Xie, R. AU - Benazra, M. AU - Nammo, T. AU - Arnes, L. AU - Nakić, N. AU - García-Hurtado, J. AU - Rodríguez-Seguí, S. PY - 2012 DA - 2012// TI - Human β cell transcriptome analysis uncovers lncRNAs that are tissue-specific, dynamically regulated, and abnormally expressed in type 2 diabetes JO - Cell Metab VL - 16 UR - https://doi.org/10.1016/j.cmet.2012.08.010 DO - 10.1016/j.cmet.2012.08.010 ID - Morán2012 ER - TY - JOUR AU - Voight, B. F. AU - Scott, L. J. AU - Steinthorsdottir, V. AU - Morris, A. P. AU - Dina, C. AU - Welch, R. P. AU - Zeggini, E. AU - Huth, C. AU - Aulchenko, Y. S. AU - Thorleifsson, G. PY - 2010 DA - 2010// TI - Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis JO - Nat Genet VL - 42 UR - https://doi.org/10.1038/ng.609 DO - 10.1038/ng.609 ID - Voight2010 ER - TY - STD TI - Imamura M, Maeda S. Genetics of type 2 diabetes: the GWAS era and future perspectives. Endocr J. 2011:1107190592–2. ID - ref31 ER - TY - JOUR AU - Soni, J. AU - Ansari, U. AU - Sharma, D. AU - Soni, S. PY - 2011 DA - 2011// TI - Predictive data mining for medical diagnosis: an overview of heart disease prediction JO - International Journal of Computer Applications VL - 17 UR - https://doi.org/10.5120/2237-2860 DO - 10.5120/2237-2860 ID - Soni2011 ER - TY - JOUR AU - Asadi, F. AU - Paydar, S. PY - 2018 DA - 2018// TI - Presenting an evaluation model of the trauma registry software JO - Int J Med Inform VL - 112 UR - https://doi.org/10.1016/j.ijmedinf.2018.01.013 DO - 10.1016/j.ijmedinf.2018.01.013 ID - Asadi2018 ER - TY - JOUR AU - Dangare, C. S. AU - Apte, S. S. PY - 2012 DA - 2012// TI - Improved study of heart disease prediction system using data mining classification techniques JO - International Journal of Computer Applications VL - 47 UR - https://doi.org/10.5120/7228-0076 DO - 10.5120/7228-0076 ID - Dangare2012 ER - TY - JOUR AU - Yuan, F. AU - Lu, L. AU - Zhang, Y. AU - Wang, S. AU - Cai, Y. -. D. PY - 2018 DA - 2018// TI - Data mining of the cancer-related lncRNAs GO terms and KEGG pathways by using mRMR method JO - Math Biosci VL - 304 UR - https://doi.org/10.1016/j.mbs.2018.08.001 DO - 10.1016/j.mbs.2018.08.001 ID - Yuan2018 ER - TY - JOUR AU - Sa’di, S. AU - Maleki, A. AU - Hashemi, R. AU - Panbechi, Z. AU - Chalabi, K. PY - 2015 DA - 2015// TI - Comparison of data mining algorithms in the diagnosis of type II diabetes JO - International Journal on Computational Science & Applications (IJCSA) VL - 5 UR - https://doi.org/10.5121/ijcsa.2015.5501 DO - 10.5121/ijcsa.2015.5501 ID - Sa’di2015 ER -