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An intelligent health monitoring and diagnosis system based on the internet of things and fuzzy logic for cardiac arrhythmia COVID-19 patients
ArticleAbstract: Background: During the COVID-19 pandemic, there is a global demand for intelligent health surveillanPalabras claves:Artificial Intelligence, Defuzzification, Features extraction, Finite impulse response, Fuzzy membership and rules, Global system for mobile communication, internet of things, MIT-BIH database, QRS peaks, SARS-COV-2Autores:Akbar M.A., Carlos Martin-Barreiro, Leiva V., Rahman M.Z.U., Riaz M.T., Tahir A.Fuentes:googlescopusOn a Novel Dynamics of SEIR Epidemic Models with a Potential Application to COVID-19
ArticleAbstract: In this paper, we study a type of disease that unknowingly spreads for a long time, but by default,Palabras claves:ABC derivatives, Basic reproduction number, Equilibrium points, fractional derivatives, Laplace transform, Numerical Methods, SARS-COV-2, sensitivity and stability analysesAutores:Carlos Martin-Barreiro, Chesneau C., Leiva V., Rangasamy M.Fuentes:googlescopusIntegration methods of odds ratio based on meta-analysis using fixed and random effect models useful in public health
ReviewAbstract: Meta-analysis integrates information from different studies to generate a common response to a deterPalabras claves:Biostatistics, clinical trials, effect size, MedicineAutores:Catalán-Reyes M.J., Leiva V., Martín-Vallejo J., Purificación Galindo-VillardónFuentes:scopusWeibull Regression and Machine Learning Survival Models: Methodology, Comparison, and Application to Biomedical Data Related to Cardiac Surgery
ArticleAbstract: In this article, we propose a comparative study between two models that can be used by researchers fPalabras claves:binary trees, Harrell index, model diagnostics, non-normal regression, random forest, statistical software, survival statistical analysis, variable importance, Weibull modelAutores:Carlos Martin-Barreiro, Cavalcante T., Leiva V., Ospina R., Xavier CabezasFuentes:googlescopus