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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
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
Understanding the Global Data of Infections Cases by Covid-19 Through Gaussian and Trapezoid Models
(IEEE, 2021)
Once initialized the first wave of pandemic due to Covid-19 pandemic, it was seen in most countries a common pattern that gives account about the number of infections. Nevertheless one finds also that in mosly of these ...
Acceso restringido
Pandemic of Covid-19 as Global Entropy: When Shannon Theory fits To-Date Data of New Infections
(Universidad Autónoma del Perú, 2021-12)
It is well-known that Coronavirus has been propagated due to human activities mainly based at intercontinental flights. Thus, in the first months of 2020, most new countries have already presented peaks in the number of ...
Acceso restringido
Exact Calculation of Social Distancing at Ongoing COVID-19 Pandemic by Using Simple Kinematics of Aerosols
(Universidad Autónoma del Perú, 2021-12)
In the ongoing Covid-19 panemic the social distance is needed to guarantee healthy oral Communications even with the wearing of a mask. In this paper the so-called social distancing is calculated with the usage of simple ...
Acceso restringido
Model of Early Intervention Using Machine Learning: Predicting Monkeypox Pandemic
(IEEE, 2022)
This paper presents a model of intervention at the first phases of global pandemic using the criteria of Mitchell that simplifies to some extent the philosophy of Machine Learning. These criteria are projected onto the ...
Acceso restringido