Prognostic models in COVID-19 infection that predict severity: a systematic review
Current evidence on COVID-19 prognostic models is inconsistent and clinical applicability
remains controversial. We performed a systematic review to summarize and critically …
remains controversial. We performed a systematic review to summarize and critically …
[HTML][HTML] A machine learning and explainable artificial intelligence triage-prediction system for COVID-19
COVID-19 is a respiratory disease caused by the SARS-CoV-2 contagion, severely
disrupted the healthcare infrastructure. Various countries have developed COVID-19 …
disrupted the healthcare infrastructure. Various countries have developed COVID-19 …
Estimating the relative crystallinity of biodegradable polylactic acid and polyglycolide polymer composites by machine learning methodologies
Biodegradable polymers have recently found significant applications in pharmaceutics
processing and drug release/delivery. Composites based on poly (L-lactic acid)(PLLA) have …
processing and drug release/delivery. Composites based on poly (L-lactic acid)(PLLA) have …
Design and implementation of a smart insole system to measure plantar pressure and temperature
An intelligent insole system may monitor the individual's foot pressure and temperature in
real-time from the comfort of their home, which can help capture foot problems in their …
real-time from the comfort of their home, which can help capture foot problems in their …
PCovNet: A presymptomatic COVID-19 detection framework using deep learning model using wearables data
While the advanced diagnostic tools and healthcare management protocols have been
struggling to contain the COVID-19 pandemic, the spread of the contagious viral pathogen …
struggling to contain the COVID-19 pandemic, the spread of the contagious viral pathogen …
Thermal change index-based diabetic foot thermogram image classification using machine learning techniques
Diabetes mellitus (DM) can lead to plantar ulcers, amputation and death. Plantar foot
thermogram images acquired using an infrared camera have been shown to detect changes …
thermogram images acquired using an infrared camera have been shown to detect changes …
[HTML][HTML] Mortality prediction of COVID-19 patients using soft voting classifier
COVID-19 is a novel coronavirus that spread around the globe with the initial reports coming
from Wuhan, China, turned into a pandemic and caused enormous casualties. Various …
from Wuhan, China, turned into a pandemic and caused enormous casualties. Various …
BIO-CXRNET: A robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data
Nowadays, quick, and accurate diagnosis of COVID-19 is a pressing need. This study
presents a multimodal system to meet this need. The presented system employs a machine …
presents a multimodal system to meet this need. The presented system employs a machine …
Machine learning first response to COVID-19: A systematic literature review of clinical decision assistance approaches during pandemic years from 2020 to 2022
G Badiola-Zabala, JM Lopez-Guede, J Estevez… - Electronics, 2024 - mdpi.com
Background: The declaration of the COVID-19 pandemic triggered global efforts to control
and manage the virus impact. Scientists and researchers have been strongly involved in …
and manage the virus impact. Scientists and researchers have been strongly involved in …
Point-of-care lung ultrasound, lung CT and NEWS to predict adverse outcomes and mortality in COVID-19 associated pneumonia
Introduction: The appraisal of disease severity and prediction of adverse outcomes using
risk stratification tools at early disease stages is crucial to diminish mortality from coronavirus …
risk stratification tools at early disease stages is crucial to diminish mortality from coronavirus …