[HTML][HTML] An Amalgamation of Bioinformatics and Artificial Intelligence for COVID-19 Management: From Discovery to Clinic
The pathogen SARS-CoV-2 has emerged and taken the shape of a global pandemic by
causing COVID-19. SARS-CoV-2 has a very novel and unique set of genetic makeup that …
causing COVID-19. SARS-CoV-2 has a very novel and unique set of genetic makeup that …
Hemogram‐based decision tree models for discriminating COVID‐19 from RSV in infants
D Dobrijević, L Andrijević, J Antić… - Journal of Clinical …, 2023 - Wiley Online Library
Objective Decision trees are efficient and reliable decision‐making algorithms, and
medicine has reached its peak of interest in these methods during the current pandemic …
medicine has reached its peak of interest in these methods during the current pandemic …
Diagnostic accuracy of a set of clinical and radiological criteria for screening of COVID-19 using RT-PCR as the reference standard
MC Oliveira, KO Scharan, BI Thomés… - BMC Pulmonary …, 2023 - Springer
Background The gold-standard method for establishing a microbiological diagnosis of
COVID-19 is reverse-transcriptase polymerase chain reaction (RT-PCR). This study aimed …
COVID-19 is reverse-transcriptase polymerase chain reaction (RT-PCR). This study aimed …
Research on the application and effect of flipped-classroom combined with TBL teaching model in WeChat-platform-based biochemical teaching under the trend of …
H Ji, K Zhu, Z Shen, H Zhu - BMC Medical Education, 2023 - Springer
Background Biochemistry is a core subject in clinical medical education. The traditional
classroom teaching model led by teachers is often limited to the knowledge transfer of …
classroom teaching model led by teachers is often limited to the knowledge transfer of …
COVID-19 infection inference with graph neural networks
Infectious diseases spread rapidly, and epidemiological surveys are vital to detect high-risk
transmitters and reduce transmission rates. To enhance efficiency and reduce the burden on …
transmitters and reduce transmission rates. To enhance efficiency and reduce the burden on …
[HTML][HTML] The effect of influenza vaccine on severity of COVID-19 infection: An original study from Iran
S Kalantari, A Sadeghzadeh-Bazargan… - Medical Journal of the …, 2021 - ncbi.nlm.nih.gov
Background: The COVID-19 infection is a novel virus that mainly targets the respiratory
system via specific receptors without any coronavirus-targeted therapies. Many efforts have …
system via specific receptors without any coronavirus-targeted therapies. Many efforts have …
Machine learning to analyse omic-data for COVID-19 diagnosis and prognosis
Background With the global spread of COVID-19, the world has seen many patients,
including many severe cases. The rapid development of machine learning (ML) has made …
including many severe cases. The rapid development of machine learning (ML) has made …
[HTML][HTML] Supervised machine learning approach to COVID-19 detection based on clinical data
A Yazdani, M Zahmatkeshan… - Medical Journal of the …, 2022 - ncbi.nlm.nih.gov
Background: The new coronavirus has been spreading since the beginning of 2020, and
many efforts have been made to develop vaccines to help patients recover. It is now clear …
many efforts have been made to develop vaccines to help patients recover. It is now clear …
COVID‐19: A systematic review of prediction and classification techniques
OR Varma, M Kalra, S Kirmani - International Journal of …, 2023 - Wiley Online Library
COVID‐19 has affected more than 760 million people all over the world, as per the latest
record of the WHO. The rapid proliferation of COVID‐19 patients not only created a health …
record of the WHO. The rapid proliferation of COVID‐19 patients not only created a health …
Spherical Fuzzy Multicriteria Decision Making for Evaluating Healthcare Service Quality of Hospitals During the Global Pandemic
This study identifies hospitals in Iran that have demonstrated exceptional performance in
service quality during the COVID-19 pandemic based on the proposed integrated …
service quality during the COVID-19 pandemic based on the proposed integrated …