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Support Vector Machine Technique as Classifier of Impaired Body Fat Percentage.

A. Cruz, E. Severeyn, M. Huerta, и S. Wong. FSDM, том 340 из Frontiers in Artificial Intelligence and Applications, стр. 175-182. IOS Press, (2021)

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Erika Mutius

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A new on-line electrocardiographic records database and computer routines for data analysis.C. Ledezma, E. Severeyn, G. Perpinan, M. Altuve, и S. Wong. EMBC, стр. 2738-2741. IEEE, (2014)Support Vector Machine Technique as Classifier of Impaired Body Fat Percentage.A. Cruz, E. Severeyn, M. Huerta, и S. Wong. FSDM, том 340 из Frontiers in Artificial Intelligence and Applications, стр. 175-182. IOS Press, (2021)Comparing glucose and insulin data from the two-hour oral glucose tolerance test in metabolic syndrome subjects and marathon runners.M. Altuve, G. Perpinan, E. Severeyn, и S. Wong. EMBC, стр. 5290-5293. IEEE, (2016)Adaptation of five indirect insulin sensitivity evaluation methods to three populations: Metabolic syndrome, athletic and normal subjects.M. Altuve, E. Severeyn, и S. Wong. EMBC, стр. 4555-4558. IEEE, (2014)Nonlinear Heart Rate Variability Measures During the Oral Glucose Tolerance Test.G. Perpiñan, E. Severeyn, S. Wong, и M. Altuve. CinC, www.cinc.org, (2017)Anthropometric measurements for assessing insulin sensitivity on patients with metabolic syndrome, sedentaries and marathoners.E. Severeyn, S. Wong, H. Herrera, и M. Altuve. EMBC, стр. 4423-4426. IEEE, (2015)Cardiac autonomic modulation in response to a glucose stimulus.G. Perpiñan, E. Severeyn, S. Wong, и M. Altuve. Medical Biol. Eng. Comput., 57 (3): 667-676 (2019)

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