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Analysis of the use of Machine Learning in the detection and prediction of hypertension in COVID 19 patients. A review of the scientific literature
(Institute of Electrical and Electronics Engineers, 2021-12-22)
The world is currently experiencing a major pandemic with the SARS-CoV-2 virus in which many patients who suffer and have suffered from this disease are more likely to suffer from hypertension. For this purpose, we have ...
Acceso restringido
Predictive Theory of Covid-19 Infections at European Countries Through Bessel Functions: Past and Present
(Universidad Autónoma del Perú, 2021-10-18)
The data of infections by Covid-19 is modeled through the integer-order Bessel functions that have been parametrized in according to the morphology of data. In particular, the modeling is focused on official data belonging ...
Acceso restringido
Identifying Second Wave and New Variants of Covid-19 from Shannon Entropy in Global Pandemic Data
(Institute of Electrical and Electronics Engineers, 2021-08-19)
In most countries that have been affected by the arrival of Corona Virus Disease 2019 (or Covid-19 in short), the surveillance of daily state of management of pandemic is reflected on the histogram of number of confirmed ...
Acceso restringido
Theory and Parameterization of Infections and Waves by Covid-19: A 6-Countries Data Analysis
(Institute of Electrical and Electronics Engineers, 2021-12-15)
From data of USA, Japan, Germany, UK, Italy and Russian, it is claimed that the Global pandemic dictated by the dynamics of Corona virus exhibits distributions that would correspond to a morphology of Bessel-like type. ...
Acceso abierto
Theoretical Artificial Intelligence Based on Shannon Entropy to Identify Strains in Covid-19 Pandemic
(Universidad Autónoma del Perú, 2021-10-18)
Based in the fact that ongoing pandemic is caused by a kind of disorder, this paper employs the concept of Shannon entropy to model data of infections by Covid-19. The usage of this represents a proposal as a type of ...
Acceso restringido
Exploring Geographical Topologies and Diffusion of Monkeypox Infections at the Beginning Pandemic
(IEEE, 2022)
Although a bit more of 2 months from the outbreak of Monkeypox pandemic, global data of number of infections are exhibiting an exponential behavior due to a fast propagation. In this paper it is analyzed the reported data ...
Acceso restringido
Quadratic Spreading of Monkeypox Infections Dictated by the Diffusion Equation: The Case of Central Europe
(IEEE, 2022)
In contrast to Covid-pandemic, the ongoing Monkeypox might not exhibit peaked distributions nor Gaussian-like waves. On the contrary it is demonstrated that along the first weeks of Monkeypox pandemic, the number of ...
Acceso restringido
Machine Learning and Bayes Probability For Detecting Camouflaged Mini Pandemic at the Waves of Covid-19
(IEEE, 2022)
This paper present a methodology based at Machine Learning and a theory backed by the Bayes probability to identify rare strains that might not be in coherence with the corona virus. By using the criteria of Tom Mitchell ...
Acceso restringido
The Approach of Machine Learning to Optimize the Bank-Customer Interaction at Pandemic Epochs
(IEEE, 2022)
Along the pandemic created by the Corona virus 2019 (Covid-19 in shorthand), the global economy was observed to experience various turbulent months that were reflected by the increasing of unemployment and the apparition ...
Acceso restringido
Spreading of Corona Virus in Central Europe: The Cases of Italy and Spain and the Very Beginning of Pandemic
(Institute of Electrical and Electronics Engineers, 2021-11)
In this paper a mathematical model that focuses at the very beginning of pandemic at Europe is presented. In essence it is assumed that once the virus arrived to Italy then the geographical propagation was done through ...
Acceso restringido