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 …
Exploring the Existing and Unknown Side Effects of Privacy Preserving Data Mining Algorithms
HB Sadashiva Reddy - 2022 - nsuworks.nova.edu
The data mining sanitization process involves converting the data by masking the sensitive
data and then releasing it to public domain. During the sanitization process, side effects …
data and then releasing it to public domain. During the sanitization process, side effects …
Towards Improved XAI-Based Epidemiological Research into the Next Potential Pandemic
By applying AI techniques to a variety of pandemic-relevant data, artificial intelligence (AI)
has substantially supported the control of the spread of the SARS-CoV-2 virus. Along with …
has substantially supported the control of the spread of the SARS-CoV-2 virus. Along with …
[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 …
[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 …
Prediction of line heating deformation on sheet metal based on an ISSA–ELM model
L Li, S Qi, H Zhou, L Wang - Scientific Reports, 2023 - nature.com
A prediction method based on an improved salp swarm algorithm (ISSA) and extreme
learning machine (ELM) was proposed to improve line heating and forming. First, a three …
learning machine (ELM) was proposed to improve line heating and forming. First, a three …
Supervised Machine Learning Models for Covid-19 Diagnosis using a Combination of Clinical and Laboratory Data
N Mohebbi, M Tutunchian, M Alavi… - … Conference on Web …, 2022 - ieeexplore.ieee.org
An epidemic caused by a new type of Coronavirus family, called COVID-19, has created a
global crisis involving all countries of the world. In this regard, designing an early detection …
global crisis involving all countries of the world. In this regard, designing an early detection …
Exploring the Existing and Unknown Side Effects of Privacy Preserving Data Mining Algorithms
HBS Reddy - 2022 - search.proquest.com
The data mining sanitization process involves converting the data by masking the sensitive
data and then releasing it to public domain. During the sanitization process, side effects …
data and then releasing it to public domain. During the sanitization process, side effects …
Comparing Supervised Machine Learning Models for Covid-19 patient detection using a Combination of Clinical and Laboratory Dataset
COVID-19 is a new variant of SARS-COV-2 which can lead to mild to severe infection in
humans. Despite the remarkable efforts to contain the epidemic, the virus spread rapidly …
humans. Despite the remarkable efforts to contain the epidemic, the virus spread rapidly …