[HTML][HTML] Machine learning in healthcare communication
S Siddique, JCL Chow - Encyclopedia, 2021 - mdpi.com
Definition Machine learning (ML) is a study of computer algorithms for automation through
experience. ML is a subset of artificial intelligence (AI) that develops computer systems …
experience. ML is a subset of artificial intelligence (AI) that develops computer systems …
Deep learning for Covid-19 forecasting: State-of-the-art review.
The Covid-19 pandemic has galvanized scientists to apply machine learning methods to
help combat the crisis. Despite the significant amount of research there exists no …
help combat the crisis. Despite the significant amount of research there exists no …
Ensemble deep learning and internet of things‐based automated COVID‐19 diagnosis framework
AS Kini, AN Gopal Reddy, M Kaur… - Contrast Media & …, 2022 - Wiley Online Library
Coronavirus disease (COVID‐19) is a viral infection caused by SARS‐CoV‐2. The
modalities such as computed tomography (CT) have been successfully utilized for the early …
modalities such as computed tomography (CT) have been successfully utilized for the early …
Does “AI” stand for augmenting inequality in the era of covid-19 healthcare?
D Leslie, A Mazumder, A Peppin, MK Wolters… - bmj, 2021 - bmj.com
Does “AI” stand for augmenting inequality in the era of covid-19 healthcare? Page 1 the bmj |
BMJ 2021;372:n304 | doi: 10.1136/bmj.n304 1 ARTIFICIAL INTELLIGENCE AND COVID-19 …
BMJ 2021;372:n304 | doi: 10.1136/bmj.n304 1 ARTIFICIAL INTELLIGENCE AND COVID-19 …
[HTML][HTML] Analytics of machine learning-based algorithms for text classification
Text classification is the most vital area in natural language processing in which text data is
automatically sorted into a predefined set of classes. The application of text classification is …
automatically sorted into a predefined set of classes. The application of text classification is …
Bridging the gap between AI and explainability in the GDPR: towards trustworthiness-by-design in automated decision-making
R Hamon, H Junklewitz, I Sanchez… - IEEE Computational …, 2022 - ieeexplore.ieee.org
Can satisfactory explanations for complex machine learning models be achieved in high-risk
automated decision-making? How can such explanations be integrated into a data …
automated decision-making? How can such explanations be integrated into a data …
[HTML][HTML] Reported adverse effects and attitudes among Arab populations following COVID-19 vaccination: a large-scale multinational study implementing machine …
Background: The unprecedented global spread of coronavirus disease 2019 (COVID-19)
has imposed huge challenges on the healthcare facilities, and impacted every aspect of life …
has imposed huge challenges on the healthcare facilities, and impacted every aspect of life …
A decision-level fusion method for COVID-19 patient health prediction
With the continuous attempts to develop effective machine learning methods, information
fusion approaches play an important role in integrating data from multiple sources and …
fusion approaches play an important role in integrating data from multiple sources and …
[HTML][HTML] On the role of artificial intelligence in medical imaging of COVID-19
Although a plethora of research articles on AI methods on COVID-19 medical imaging are
published, their clinical value remains unclear. We conducted the largest systematic review …
published, their clinical value remains unclear. We conducted the largest systematic review …
[HTML][HTML] Artificial Intelligence and COVID-19: A Systematic umbrella review and roads ahead
Artificial Intelligence (AI) has played a substantial role in the response to the challenges
posed by the current pandemic. The growing interest in using AI to handle Covid-19 issues …
posed by the current pandemic. The growing interest in using AI to handle Covid-19 issues …