Artificial intelligence for diagnosis of mild–moderate COVID-19 using haematological markers

K Chadaga, S Prabhu, V Bhat, N Sampathila… - Annals of …, 2023 - Taylor & Francis
Objective The persistent spread of SARS-CoV-2 makes diagnosis challenging because
COVID-19 symptoms are hard to differentiate from those of other respiratory illnesses. The …

A dynamic large-scale multiple attribute group decision-making method with probabilistic linguistic term sets based on trust relationship and opinion correlation

F Teng, C Du, M Shen, P Liu - Information Sciences, 2022 - Elsevier
Dynamic large-scale multiple attribute group decision making (DLMAGDM) is ubiquitous in
many areas of the real world. It is composed of large numbers of decision makers, several …

[HTML][HTML] Mast Cells and Basophils in Major Viral Diseases: What Are the Correlations with SARS-CoV-2, Influenza A Viruses, HIV, and Dengue?

L Gammeri, S Sanfilippo, C Alessandrello, S Gangemi… - Cells, 2024 - mdpi.com
The SARS-CoV-2 pandemic has significantly impacted global health and has led the
population and the scientific community to live in fear of a future pandemic. Based on viral …

[HTML][HTML] COVID-19 diagnosis using clinical markers and multiple explainable artificial intelligence approaches: a case study from Ecuador

K Chadaga, S Prabhu, V Bhat, N Sampathila… - SLAS technology, 2023 - Elsevier
The COVID-19 pandemic erupted at the beginning of 2020 and proved fatal, causing many
casualties worldwide. Immediate and precise screening of affected patients is critical for …

[HTML][HTML] Emerging technologies for the management of COVID19: a review

N Zafar, J Ahamed - Sustainable Operations and Computers, 2022 - Elsevier
The outbreak of COVID19 has put a halt on life over the globe. For a while, everything was
stopped except the spread of disease and mortality rate. This has become the greatest …

Construction and effectiveness evaluation of a knowledge-based infectious disease monitoring and decision support system

M Wang, M Jia, Z Wei, W Wang, Y Shang, H Ji - Scientific Reports, 2023 - nature.com
To improve the hospital's ability to proactively detect infectious diseases, a knowledge-
based infectious disease monitoring and decision support system was established based on …

Use of machine learning and routine laboratory tests for diabetes mellitus screening

G Cardozo, GB Pintarelli, GR Andreis… - BioMed research …, 2022 - Wiley Online Library
Most patients with diabetes mellitus are asymptomatic, which leads to delayed and more
complex treatment. At the same time, most individuals are routinely subjected to standard …

Supporting clinical COVID-19 diagnosis with routine blood tests using tree-based entropy structured self-organizing maps

V Sargiani, AA De Souza, DC De Almeida… - Applied Sciences, 2022 - mdpi.com
Featured Application A new algorithm that uses self-organizing maps and entropy calculus
to generate a tree structure based on XAI software principles. Abstract Data classification is …

How to diagnose COVID-19 in family practice? Usability of complete blood count as a COVID-19 diagnostic tool: a cross-sectional study in Turkey

M Bayraktar, E Tekin, MN Kocak - BMJ open, 2023 - bmjopen.bmj.com
Objective COVID-19 is currently diagnosed in hospital settings. An easy and practical
diagnosis of COVID-19 is needed in primary care. For this purpose, the usability of complete …

An Explainable Decision Support Framework for Differential Diagnosis between Mild COVID-19 and Other Similar Influenzas

K Chadaga, S Prabhu, N Sampathila, R Chadaga… - IEEE …, 2024 - ieeexplore.ieee.org
It is tough to clinically differentiate between mild COVID-19 and other similar influenzas due
to their comparable transmission traits and symptoms. The Real-time reverse transcriptase …