Systematic reviews of machine learning in healthcare: a literature review

K Kolasa, B Admassu… - Expert Review of …, 2024 - Taylor & Francis
Introduction The increasing availability of data and computing power has made machine
learning (ML) a viable approach to faster, more efficient healthcare delivery. Methods A …

Machine learning-based computer-aided simple triage (CAST) for COVID-19 pneumonia as compared with triage by board-certified chest radiologists

Y Ohno, T Aoki, M Endo, H Koyama, H Moriya… - Japanese journal of …, 2024 - Springer
Purpose Several reporting systems have been proposed for providing standardized
language and diagnostic categories aiming for expressing the likelihood that lung …

[HTML][HTML] Development and External Validation of Clinical Features-based Machine Learning Models for Predicting COVID-19 in the Emergency Department

J Tay, YH Yen, K Rivera, EH Chou… - Western Journal of …, 2024 - ncbi.nlm.nih.gov
Methods To create our training/validation cohort (model development) we collected data
retrospectively from suspected COVID-19 patients at a US ED from February 23–May 12 …

Are the Comorbidities Constitute an Intrinsic Factor for Long COVID?

R Ashmawy, EA Hammouda, YA El-Maradny… - 2024 - preprints.org
Long COVID, a name often given to the persistent symptoms following acute SARS-CoV-2
infection, poses a multifaceted challenge for health. This review explores the intrinsic …

[PDF][PDF] A Comprehensive Survey on the Data-Driven Approaches used for Tackling the COVID-19 Pandemic

W Salameh, O SURAKHI… - WSEAS Transactions on …, 2024 - researchgate.net
The current evolution of Artificial Intelligence (AI) is fueled by the massive data sources
generated by the Internet of Things (IoT), social media, and a diverse range of mobile and …

Detection of Bias in Machine Learning Models for Predicting Deaths Caused by COVID-19

F Zachra, S Basuki - Jurnal ELTIKOM: Jurnal Teknik Elektro …, 2024 - eltikom.poliban.ac.id
The COVID-19 pandemic has significantly impacted global health, resulting in numerous
fatalities and presenting substantial challenges to national healthcare systems due to a …