Prognostic models in COVID-19 infection that predict severity: a systematic review
Current evidence on COVID-19 prognostic models is inconsistent and clinical applicability
remains controversial. We performed a systematic review to summarize and critically …
remains controversial. We performed a systematic review to summarize and critically …
Machine and deep learning methods for clinical outcome prediction based on physiological data of COVID-19 patients: a scoping review
Introduction Since the beginning of the COVID-19 pandemic, numerous machine and deep
learning (MDL) methods have been proposed in the literature to analyze patient …
learning (MDL) methods have been proposed in the literature to analyze patient …
The predictive model for COVID-19 pandemic plastic pollution by using deep learning method
YA Nanehkaran, Z Licai, M Azarafza, S Talaei… - Scientific Reports, 2023 - nature.com
Pandemic plastics (eg, masks, gloves, aprons, and sanitizer bottles) are global
consequences of COVID-19 pandemic-infected waste, which has increased significantly …
consequences of COVID-19 pandemic-infected waste, which has increased significantly …
Generalizable machine learning approach for COVID-19 mortality risk prediction using on-admission clinical and laboratory features
We aimed to propose a mortality risk prediction model using on-admission clinical and
laboratory predictors. We used a dataset of confirmed COVID-19 patients admitted to three …
laboratory predictors. We used a dataset of confirmed COVID-19 patients admitted to three …
Clinical decision support system for quality of life among the elderly: an approach using artificial neural network
Background Due to advancements in medicine and the elderly population's growth with
various disabilities, attention to QoL among this age group is crucial. Early prediction of the …
various disabilities, attention to QoL among this age group is crucial. Early prediction of the …
COVID-19 vaccine rejection causes based on Twitter people's opinions analysis using deep learning
W Alotaibi, F Alomary, R Mokni - Social Network Analysis and Mining, 2023 - Springer
Abstract According to the World Health Organization, vaccine hesitancy was one of the ten
major threats to global health in 2019, including the COVID-19 vaccine. The availability of …
major threats to global health in 2019, including the COVID-19 vaccine. The availability of …
Multimodal deep learning for COVID-19 prognosis prediction in the emergency department: a bi-centric study
Predicting clinical deterioration in COVID-19 patients remains a challenging task in the
Emergency Department (ED). To address this aim, we developed an artificial neural network …
Emergency Department (ED). To address this aim, we developed an artificial neural network …
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 …
Authentication of Covid-19 vaccines using synchronous fluorescence spectroscopy
The present study demonstrates the potential of synchronous fluorescence spectroscopy
and multivariate data analysis for authentication of COVID-19 vaccines from various …
and multivariate data analysis for authentication of COVID-19 vaccines from various …
Machine learning approach to evaluate TdP risk of drugs using cardiac electrophysiological model including inter-individual variability
Introduction: Predicting ventricular arrhythmia Torsade de Pointes (TdP) caused by drug-
induced cardiotoxicity is essential in drug development. Several studies used single …
induced cardiotoxicity is essential in drug development. Several studies used single …