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Book ChapterDOI

Quantitative Analysis of COVID-19 Patients: A Preliminary Statistical Result of Deep Learning Artificial Intelligence Framework

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TLDR
A computerized tomography study in patients with suspected COVID-19 pneumonia consists of using a high-resolution approach (HRCT) and artificial intelligence applications need to be useful in categorizing the illness to an awesome severity and integrating the structured file.
Abstract
A new coronavirus-CoV-2 virus has caused disease outbreaks in many countries, and the number of cases is increasing rapidly through transmission from person to person. Clinical acoustics for SARS-CoV-2 patients are crucial to distinguish them from other respiratory infections. Symptomatic sufferers can also have pulmonary lesions on the photographs. A computerized tomography study in patients with suspected COVID-19 pneumonia consists of using a high-resolution approach (HRCT). Artificial intelligence applications need to be useful in categorizing the illness to an awesome severity and integrating the structured file, organized consistent with subjective issues, with objective and quantitative checks of the amount of the lesions. Data indicate the statistical document of the world in trendy. This method, with the aid of a coloring map, identifies floor glass in submission processing and separates it from consolidation and units it as a percentage in respect to the balanced weight loss program.

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Journal ArticleDOI

Agent-Based Medical Health Monitoring System

TL;DR: A multi-agent-based system for health monitoring is provided in this study, which entails a group of intelligent agents that gather patient data, reason together, and propose actions to patients and medical professionals in a mobile context, allowing for timely health facilities for remote patients using 5G technology.
Journal ArticleDOI

Prediction Model for Coronavirus Pandemic Using Deep Learning

TL;DR: In this paper , the authors proposed a prediction model that would use Artificial Intelligence and Deep Learning to improve the diagnostic process by reducing unreliable diagnostic interpretation of chest CT scans and allowing clinicians to accurately discriminate between patients who are sick with COVID-19 or pneumonia, and also empowering health professionals to distinguish Chest CT scans of healthy people.
Journal ArticleDOI

A Monte Carlo Based COVID-19 Detection Framework for Smart Healthcare

TL;DR: In this article , a Monte Carlo algorithm guided protocol is developed to probe a secured cipher output, which helps to avoid wireless network issues like packet loss, network attacks, network interference, and routing problems.
Journal ArticleDOI

Predicting COVID-19 statistics using machine learning regression model: Li-MuLi-Poly.

TL;DR: In this paper, Li-MuLi-Poly was used to predict COVID-19 deaths in the United States of America, and the experiment was carried out on machine learning model, minimum mean square error model, and maximum likelihood ratio model, where the correlation of the selected independent parameters was determined by the heat map and the Carl Pearson correlation matrix.
References
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Journal ArticleDOI

Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study.

TL;DR: Wang et al. as discussed by the authors used univariable and multivariable logistic regression methods to explore the risk factors associated with in-hospital death, including older age, high SOFA score and d-dimer greater than 1 μg/mL.

WHO Declares COVID-19 a Pandemic.

TL;DR: The Director-General of the World Health Organization, Dr. Tedros Adhanom Ghebreyesus, noted that over the past 2 weeks, the number of cases outside China increased 13-fold and theNumber of countries with cases increased threefold, and further increases are expected.
Journal ArticleDOI

World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19).

TL;DR: Despite rigorous global containment and quarantine efforts, the incidence of COVID-19 continues to rise, with 90,870 laboratory-confirmed cases and over 3,000 deaths worldwide.