Diabetes Diagnostic Prediction Using Vector Support Machines
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Omar Bonerge Pineda Lezama | Amelec Viloria | Danelys Cabrera | Yaneth Herazo-Beltran | A. Viloria | Yaneth Herazo-Beltrán | O. Lezama | Danelys Cabrera
[1] Fevzullah Temurtas,et al. A comparative study on diabetes disease diagnosis using neural networks , 2009, Expert Syst. Appl..
[2] Hongbo Zhao,et al. Probabilistic back analysis based on Bayesian and multi-output support vector machine for a high cut rock slope , 2016 .
[3] D. Bates,et al. Fitting Linear Mixed-Effects Models Using lme4 , 2014, 1406.5823.
[4] Amelec Viloria,et al. Factor Analysis of the Psychosocial Risk Assessment Instrument , 2018, DMBD.
[5] T. Santhanam,et al. Application of K-Means and Genetic Algorithms for Dimension Reduction by Integrating SVM for Diabetes Diagnosis , 2015 .
[6] Mariane Krause,et al. Disentangling the change–alliance relationship: Observational assessment of the therapeutic alliance during change and stuck episodes , 2017, Psychotherapy research : journal of the Society for Psychotherapy Research.
[7] Pierre Baldi,et al. Mathematical Correction for Fingerprint Similarity Measures to Improve Chemical Retrieval , 2007, J. Chem. Inf. Model..
[8] Shankaracharya,et al. Computational intelligence in early diabetes diagnosis: a review. , 2010, The review of diabetic studies : RDS.
[9] Peter Willett,et al. Comparison of chemical similarity measures using different numbers of query structures , 2013, J. Inf. Sci..
[10] Ya Zhang,et al. A machine learning-based framework to identify type 2 diabetes through electronic health records , 2017, Int. J. Medical Informatics.
[11] Amelec Viloria,et al. Determination of Dimensionality of the Psychosocial Risk Assessment of Internal, Individual, Double Presence and External Factors in Work Environments , 2018, DMBD.
[12] Amelec Viloria,et al. Methodology for the Design of a Student Pattern Recognition Tool to Facilitate the Teaching - Learning Process Through Knowledge Data Discovery (Big Data) , 2018, DMBD.
[13] K. Teerapabolarn,et al. for the Hypergeometric Distribution , 2014 .
[14] Allam Appa Rao,et al. A computational intelligence approach for a better diagnosis of diabetic patients , 2014, Comput. Electr. Eng..
[15] Esin Dogantekin,et al. An automatic diabetes diagnosis system based on LDA-Wavelet Support Vector Machine Classifier , 2011, Expert Syst. Appl..