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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
Anticipating Subsequent Waves from First Wave Parameters in the Ongoing Covid-19 Pandemic
(Institute of Electrical and Electronics Engineers, 2021-08-19)
This paper focuses on the mathematical construction of a model that describes the statistical properties of a second wave of infections by Corona Virus Disease 2019 (Covid-19 in short) from the information of a first one. ...
Acceso restringido
Hybrid 2D Theory of Outdoor Infections in Times of Global Pandemic
(Springer, 2022-01-01)
This paper targets to study the concrete scenario of aerosols transporting virus fact that is seen as a potential cause of massive infections in open spaces through the usage of a two dimension theory. For this end, the ...
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
Corona Virus and Entropy of Shannon at the Cardiac Cycle: A Mathematical Model
(Springer Link, 2022)
Along the weeks of symptoms due Corona Virus Disease 2019 (Covid-19 in short), patients are exhibiting an inverse relation between Oxygen saturation and beats per minute. Thus, the scenarios of the highest cardiac pulse ...
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