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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 

    Herrera-Huisa, Luis; Arias-Meza, Nicole; Cabanillas-Carbonell, Michael (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
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    Predictive Theory of Covid-19 Infections at European Countries Through Bessel Functions: Past and Present 

    Nieto-Chaupis, Huber (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
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    Identifying Second Wave and New Variants of Covid-19 from Shannon Entropy in Global Pandemic Data 

    Nieto-Chaupis, Huber (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
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    Theory and Parameterization of Infections and Waves by Covid-19: A 6-Countries Data Analysis 

    Nieto-Chaupis, Huber (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
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    Theoretical Artificial Intelligence Based on Shannon Entropy to Identify Strains in Covid-19 Pandemic 

    Nieto-Chaupis, Huber (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
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    Global Pandemics Dictated by Noncommutative Algebra 

    Nieto-Chaupis, Huber (IEEE, 2024)
    The apparition of a global pandemic commonly seen as a random, is unpredictable in both geographic location as well as time. For example, Monkeypox disease 2022 could have emerged rather before than Corona virus disease ...
    Acceso restringido
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    Direct Usage of Mitchell Criteria to Identify and Predict the Arrival of Next Global Pandemic 

    Nieto-Chaupis, Huber (IEEE, 2023)
    As was seen at the previous Covid-19 pandemic, the intercontinental flights and aerosols, have been the main causes for a massive infection. In this paper, the technology of Machine Learning based at the criteria of Mitchell ...
    Acceso restringido
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    Machine Learning and Covid-19 Data Predict Next Intercontinental Pandemic 

    Nieto-Chaupis, Huber (IEEE, 2023)
    Experiences from past Covid-19 pandemic have led to explore the actions that were taken previous time to the implementation of policies in a fast and optimal manner. Because of this actions the arrival of virus to a country ...
    Acceso restringido
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    Spreading of Corona Virus in Central Europe: The Cases of Italy and Spain and the Very Beginning of Pandemic 

    Nieto-Chaupis, Huber (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
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    Understanding the Global Data of Infections Cases by Covid-19 Through Gaussian and Trapezoid Models 

    Nieto-Chaupis, Huber (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
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    AuthorNieto-Chaupis, Huber (19)Arias-Meza, Nicole (1)Cabanillas-Carbonell, Michael (1)Herrera-Huisa, Luis (1)Subject
    COVID-19 (20)
    Pandemics (20)
    Entropy (6)Europe (6)Computational modeling (4)Data models (4)Mathematical models (4)Morphology (4)Behavioral sciences (3)Machine learning (3)... View MoreDate2021 (9)2022 (8)2023 (2)2024 (1)

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