Advancing COVID-19 prediction with deep learning models: A review

AMG John-Otumu, C Ikerionwu… - … and Business for …, 2024 - ieeexplore.ieee.org
This paper extensively explores the global impact of COVID-19 on mortality, society, and
health, emphasizing the pressing need for accurate prediction models to navigate the ever …

Framing twitter public sentiment on Nigerian government COVID-19 palliatives distribution using machine learning

H Adamu, SL Lutfi, NHAH Malim, R Hassan, A Di Vaio… - Sustainability, 2021 - mdpi.com
Sustainable development plays a vital role in information and communication technology. In
times of pandemics such as COVID-19, vulnerable people need help to survive. This help …

[HTML][HTML] Application of intelligence-based computational techniques for classification and early differential diagnosis of COVID-19 disease

BA Akinnuwesi, SG Fashoto, E Mbunge… - Data Science and …, 2021 - Elsevier
Clinical methods are used for diagnosing COVID-19 infected patients, but reports posit that,
several people who were initially tested positive of COVID-19, and who had some …

[PDF][PDF] Diabetes diagnosis system using modified Naive Bayes classifier

JK Alwan, DS Jaafar, IR Ali - Indonesian Journal of Electrical …, 2022 - academia.edu
In today's world, Diabetes is one of these diseases and is now a big growing health problem.
The techniques of data mining have been widely applied to extract knowledge from medical …

Implementasi Text Mining Dalam Perbaikan Kualitas Aplikasi Google Classroom Berdasarkan Review Pengguna

AY Pawestri - 2022 - dspace.uii.ac.id
Internet sekarang ini menyerupai kebutuhan primer bagi seluruh lapisan masyarakat. Salah
satu bidang yang terpengaruh impak dari perkembangan internet adalah bidang pendidikan …

Predicting risks of machine translations of public health resources by developing interpretable machine learning classifiers

W Xie, M Ji, R Huang, T Hao, CY Chow - International Journal of …, 2021 - mdpi.com
We aimed to develop machine learning classifiers as a risk-prevention mechanism to help
medical professionals with little or no knowledge of the patient's languages in order to …

Online Consumer Alignment using Supervised Machine Learning Technique

MAW Sorker, A Siddika, TA Titly… - 2022 13th …, 2022 - ieeexplore.ieee.org
As we all know, online businesses are growing in popularity by the day, and the need for
websites to attract more clients and provide them with the best possible service should be …

Detecting Need-Attention Patients using Machine Learning

TJ Law, CY Ting, H Zakariah - JOIV: International Journal on Informatics …, 2024 - joiv.org
In healthcare, detecting patients who need immediate attention is difficult. Identifying the
critical variables is challenging in patient detection because human intervention in variable …

[PDF][PDF] Deep Learning Model for COVID-19 Classification Using Fine Tuned ResNet50 on Chest X-Ray Images

O Dokun, AM John-Otumu, UF Eze, C Ikerionwu… - Machine …, 2024 - researchgate.net
Amid the COVID-19 pandemic, extensive research has focused on deep learning
methodologies for accurately diagnosing the virus from chest X-ray images. Various models …

Comprehensive Browser Extension for Analysing YouTube User Engagement, Controversy, User Requirements, and Trending Keywords

P Peiris, T Herath, R Dissanayaka… - 2023 33rd …, 2023 - ieeexplore.ieee.org
In the dynamic realm of YouTube, addressing the diverse needs of its extensive audience
while empowering content creators is of paramount importance. This research paper …