Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches
COVID‐19 is the disease evoked by a new breed of coronavirus called the severe acute
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …
A review on COVID-19 forecasting models
Abstract The novel coronavirus (COVID-19) has spread to more than 200 countries
worldwide, leading to more than 36 million confirmed cases as of October 10, 2020. As such …
worldwide, leading to more than 36 million confirmed cases as of October 10, 2020. As such …
COVID-19 patient health prediction using boosted random forest algorithm
Integration of artificial intelligence (AI) techniques in wireless infrastructure, real-time
collection, and processing of end-user devices is now in high demand. It is now superlative …
collection, and processing of end-user devices is now in high demand. It is now superlative …
Applications of artificial intelligence in battling against covid-19: A literature review
M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
[HTML][HTML] Role of machine learning techniques to tackle the COVID-19 crisis: systematic review
Background: SARS-CoV-2, the novel coronavirus responsible for COVID-19, has caused
havoc worldwide, with patients presenting a spectrum of complications that have pushed …
havoc worldwide, with patients presenting a spectrum of complications that have pushed …
Ranking the importance of demographic, socioeconomic, and underlying health factors on US COVID-19 deaths: A geographical random forest approach
A growing number of studies show that the uneven spatial distribution of COVID-19 deaths is
related to demographic and socioeconomic disparities across space. However, most studies …
related to demographic and socioeconomic disparities across space. However, most studies …
Nonlinear neural network based forecasting model for predicting COVID-19 cases
S Namasudra, S Dhamodharavadhani… - Neural processing …, 2023 - Springer
The recent COVID-19 outbreak has severely affected people around the world. There is a
need of an efficient decision making tool to improve awareness about the spread of COVID …
need of an efficient decision making tool to improve awareness about the spread of COVID …
COVID-19 pandemic analysis using application of AI
COVID disease (COVID-19) is a disease with aggravation due to added infection. The
infection triggers breathing infirmity through symptoms such as unruffled, flunky, and high …
infection triggers breathing infirmity through symptoms such as unruffled, flunky, and high …
COVID-19: Forecasting confirmed cases and deaths with a simple time series model
Forecasting the outcome of outbreaks as early and as accurately as possible is crucial for
decision-making and policy implementations. A significant challenge faced by forecasters is …
decision-making and policy implementations. A significant challenge faced by forecasters is …
Exploratory data analysis, classification, comparative analysis, case severity detection, and internet of things in COVID-19 telemonitoring for smart hospitals
A Shabbir, M Shabbir, AR Javed… - … of Experimental & …, 2023 - Taylor & Francis
The proportion of COVID-19 patients is significantly expanding around the world. Treatment
with serious consideration has become a significant problem. Identifying clinical indicators of …
with serious consideration has become a significant problem. Identifying clinical indicators of …