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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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    Universal Estimation of an Intercity Social Distancing in Covid-19 Epochs 

    Nieto Chaupis, Huber (Institute of Electrical and Electronics Engineers, 2022)
    In pandemic times, in most countries the closing of airports and local as well as international flights are done in a coherent manner that allow people to improve their decisions respect to the mobility that might emerge ...
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    The Interrelation Poverty-Unemployment from the Theory of Entropy in Modern Societies 

    Nieto-Chaupis, Huber (Institute of Electrical and Electronics Engineers, 2021-08-19)
    In this paper, a mathematical model based on uncertainties to describe the potential interrelation between unemployment and poverty by using the Shannon’s entropy is presented. Essentially, when social systems that are ...
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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 ...
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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 ...
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    Data Interpretation Driven by Algebra of Time-Dependent Operators 

    Nieto-Chaupis, Huber (IEEE, 2025-02-26)
    Huge volumes of data might to be containing hidden events that might to be associated to new laws or fundamental principles. If data follows polynomials forms then it can be related to abstract operations belonging to a ...
    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 ...
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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 ...
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    AuthorNieto-Chaupis, Huber (28)Arias-Meza, Nicole (1)Cabanillas-Carbonell, Michael (1)Deroncele-Acosta, Angel (1)Herrera-Huisa, Luis (1)Llaque, Paúl (1)Nieto Chaupis, Huber (1)Palacios-Núñez, Madeleine Lourdes (1)Toribio-López, Alexander (1)Subject
    Pandemics (31)
    COVID-19 (20)Europe (8)Entropy (7)Computational modeling (6)Mathematical models (6)Aerosols (4)Data models (4)Morphology (4)Shape (4)... View MoreDate2022 (13)2021 (12)2023 (4)2024 (1)2025 (1)

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