A generic optimization and learning framework for Parkinson disease via speech and handwritten records
Parkinson's disease (PD) is a neurodegenerative disorder with slow progression whose
symptoms can be identified at late stages. Early diagnosis and treatment of PD can help to …
symptoms can be identified at late stages. Early diagnosis and treatment of PD can help to …
[HTML][HTML] Sustainable and intelligent time-series models for epidemic disease forecasting and analysis
There is an increasing risk of outbreaks escalating into epidemics, despite huge advances in
medical science. Epidemics like COVID-19, Monkeypox, Influenza and HIV have been …
medical science. Epidemics like COVID-19, Monkeypox, Influenza and HIV have been …
Diabetic retinopathy detection using supervised and unsupervised deep learning: a review study
The severe progression of Diabetes Mellitus (DM) stands out as one of the most significant
concerns for healthcare officials worldwide. Diabetic Retinopathy (DR) is a common …
concerns for healthcare officials worldwide. Diabetic Retinopathy (DR) is a common …
[HTML][HTML] An explainable artificial intelligence model for identifying local indicators and detecting lung disease from chest X-ray images
One of the primary responsibilities of radiologists is to diagnose lung illness using chest X-
ray images. The radiologist examines the patchy infection in the imaging and makes a …
ray images. The radiologist examines the patchy infection in the imaging and makes a …
Boosting motor imagery brain-computer interface classification using multiband and hybrid feature extraction
Brain-computer interface (BCI) is a new promising technology for control and
communication, the BCI system aims to decode the measured brain activity into a command …
communication, the BCI system aims to decode the measured brain activity into a command …
A new approach for gastrointestinal tract findings detection and classification: Deep learning-based hybrid stacking ensemble models
Endoscopic procedures for diagnosing gastrointestinal tract findings depend on specialist
experience and inter-observer variability. This variability can cause minor lesions to be …
experience and inter-observer variability. This variability can cause minor lesions to be …
Compliance level toward COVID-19 preventive measures and associated factors among the Ambo University community, 2021
EY Roga, GG Bekele, DN Gonfa - Frontiers in public health, 2022 - frontiersin.org
Background The coronavirus illness is a highly contagious viral infection with serious health
consequences that has occurred all around the world. Application of COVID-19 prevention …
consequences that has occurred all around the world. Application of COVID-19 prevention …
Tracking machine learning models for pandemic scenarios: a systematic review of machine learning models that predict local and global evolution of pandemics
This systematic review aims to study and classify machine learning models that predict
pandemics' evolution within affected regions or countries. The advantage of this systematic …
pandemics' evolution within affected regions or countries. The advantage of this systematic …
Gated multi-attention feedback network for medical image super-resolution
Medical imaging technology plays a crucial role in the diagnosis and treatment of diseases.
However, the captured medical images are often in a low resolution (LR) due to the limited …
However, the captured medical images are often in a low resolution (LR) due to the limited …
Knowledge, attitudes, practices, and perception of COVID-19 preventive measures among adult residents of Matadi (Democratic Republic of the Congo) after the third …
Y Munyeku-Bazitama, P Okitale-Talunda… - Frontiers in Public …, 2024 - frontiersin.org
Background Several governments from African countries, including the Democratic Republic
of the Congo (DRC), implemented stringent public health measures to curb COVID-19 …
of the Congo (DRC), implemented stringent public health measures to curb COVID-19 …