An incremental learning approach to prediction models of SEIRD variables in the context of the COVID-19 pandemic

E Camargo, J Aguilar, Y Quintero, F Rivas… - Health and …, 2022 - Springer
Several works have proposed predictive models of the SEIRD (Susceptible, Exposed,
Infected, Recovered, and Dead) variables to characterize the pandemic of COVID-19. One of …

A Survey of Deep Learning Applications for COVID-19 Detection Techniques Based on Medical Images.

RS Saeed, BK Oleiwi - Ingénierie des Systèmes d' …, 2022 - search.ebscohost.com
The outbreak of the new coronavirus (COVID-19) has created a disaster worldwide and it
became a very severe and acute disease. COVID-19 prevalence is rapidly increasing …

Deep learning approach to detect the Covid-19 Infection using Chest X-ray image: a review

T Triwiyanto, Lusiana, LF Wakidi… - Proceedings of the 2nd …, 2022 - Springer
The COVID 2019 outbreak has been designated by WHO as a pandemic since 2020.
Various methods of diagnosis of COVID 19 have been developed by several researchers to …

An artificial intelligence approach for segmenting and classifying brain lesions caused by stroke

R Mena, E Pelaez, F Loayza, A Macas… - Computer Methods in …, 2024 - Taylor & Francis
Brain injuries caused by strokes are one of the leading causes of disability worldwide.
Current procedures require a specialised physician to analyse MRI images before …

Predicting the Length of Stay of Patients in Hospitals

Z Fu, X Gu, J Fu, M Moattari… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Due to the intensive treatment process of coronavirus pneumonia cases, it is important to
predict the Length of Stay (LOS) of patients at the hospital to allow better management of …

A pipeline for segmenting and classifying brain lesions caused by stroke: A machine learning approach

R Mena, A Macas, E Pelaez, F Loayza… - World Conference on …, 2022 - Springer
Brain injuries caused by strokes are one of the leading causes of disability in the world.
Current procedures require a specialized physician to analyze an MRI image before making …

An Integration of AI, Blockchain and IoT Technologies for Combating COVID-19

K Ashok Kumar, V Karunakar Reddy… - … and Biomedical Systems …, 2022 - Springer
An entire world is facing epidemic from past one year due to Covid-19. With effect this, lot of
countries and lot of states are collapsed their economic and also mainly common man …

Novel Chest X-Ray 4-CH-CNN COVID-19 Diagnosis

RD Bhosale, SN Mali, SB Patil - ICCCE 2021: Proceedings of the 4th …, 2022 - Springer
The COVID-19 diagnosis using Chest X-ray image processing algorithms can offer a
significant influence on medical diagnosing. The sparseness in the progression of COVID …

Intelligent Detection of Suspicions of COVID-19 Using X-Ray Imaging

W Alvarado-Díaz… - 2021 IEEE Sciences and …, 2021 - ieeexplore.ieee.org
At the beginning of 2020, the World Health Organization declared COVID-19 a pandemic,
since in all the countries of the world efforts have been made to stop the rate of infections …