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 …
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 …
The predictive power of data: machine learning analysis for Covid-19 mortality based on personal, clinical, preclinical, and laboratory variables in a case–control study
M Seyedtabib, R Najafi-Vosough, N Kamyari - BMC Infectious Diseases, 2024 - Springer
Background and purpose The COVID-19 pandemic has presented unprecedented public
health challenges worldwide. Understanding the factors contributing to COVID-19 mortality …
health challenges worldwide. Understanding the factors contributing to COVID-19 mortality …
Screening ovarian cancer by using risk factors: machine learning assists
R Nopour - BioMedical Engineering OnLine, 2024 - Springer
Background and aim Ovarian cancer (OC) is a prevalent and aggressive malignancy that
poses a significant public health challenge. The lack of preventive strategies for OC …
poses a significant public health challenge. The lack of preventive strategies for OC …
Predicting mortality in hospitalized COVID-19 patients in Zambia: an application of machine learning
The coronavirus disease 2019 (COVID-19) has wreaked havoc globally, resulting in millions
of cases and deaths. The objective of this study was to predict mortality in hospitalized …
of cases and deaths. The objective of this study was to predict mortality in hospitalized …
[PDF][PDF] Statistical Modeling of COVID-19 Mortality Trends in Iran
E Ghasemi, A Khorshidi, M Omidi… - Journal of Basic …, 2024 - jbrms.medilam.ac.ir
Results: Throughout the study period, the ARIMA (4, 1, 4) model and the cubic regression
model were the time series models that best fit the mortality data. The cubic model provided …
model were the time series models that best fit the mortality data. The cubic model provided …
[引用][C] The potential use of digital health in Iran: A systematic mapping review
H Shojaee-Mend, M Mahi, A Khajavi, MS Maleki… - Frontiers in Health …, 2024