The economics of deep and machine learning-based algorithms for COVID-19 prediction, detection, and diagnosis shaping the organizational management of …

G Lăzăroiu, T Gedeon, E Rogalska… - Oeconomia …, 2024 - cejsh.icm.edu.pl
Research background: Deep and machine learning-based algorithms can assist in COVID-
19 image-based medical diagnosis and symptom tracing, optimize intensive care unit …

[HTML][HTML] Analysis of computational intelligence approaches for predicting disease severity in humans: Challenges and research guidelines

G Narasimhan, A Victor - Journal of Education and Health …, 2023 - journals.lww.com
The word disease is a common word and there are many diseases like heart disease,
diabetes, breast cancer, COVID-19, and kidney disease that threaten humans. Data-mining …

Comparison of ARIMA model, DNN model and LSTM model in predicting disease burden of occupational pneumoconiosis in Tianjin, China

HR Lou, X Wang, Y Gao, Q Zeng - BMC Public Health, 2022 - Springer
Background This study aims to explore appropriate model for predicting the disease burden
of pneumoconiosis in Tianjin by comparing the prediction effects of Autoregressive …

[HTML][HTML] Soft computing techniques for forecasting of COVID-19 in Pakistan

M Naeem, WK Mashwani, M Abiad, H Shah… - Alexandria Engineering …, 2023 - Elsevier
Novel Pandemic COVID-19 led globally to severe health barriers and financial issues in
different parts of the world. The forecast on COVID-19 infections is significant. Demeanor …

Using weather factors and google data to predict COVID-19 transmission in Melbourne, Australia: A time-series predictive model

H McClymont, X Si, W Hu - Heliyon, 2023 - cell.com
Background Forecast models have been essential in understanding COVID-19 transmission
and guiding public health responses throughout the pandemic. This study aims to assess …

Developing forecasting model for future pandemic applications based on COVID-19 data 2020–2022

WIA Wan Mohamad Nawi, AA K. Abdul Hamid… - Plos one, 2023 - journals.plos.org
Improving forecasting particularly time series forecasting accuracy, efficiency and precisely
become crucial for the authorities to forecast, monitor, and prevent the COVID-19 cases so …

Modelling Polyphenol Extraction through Ultrasound-Assisted Extraction by Machine Learning in Olea europaea Leaves

R Rodríguez-Fernández, Á Fernández-Gómez… - Foods, 2023 - mdpi.com
The study of the phenolic compounds present in olive leaves (Olea europaea) is of great
interest due to their health benefits. In this research, different machine learning algorithms …

Implications of the COVID-19 pandemic on the shanghai, New York, and Pakistan stock exchanges

M Aamir, N Khan, M Naeem, M Bilal, F Khan… - Heliyon, 2023 - cell.com
This research aims to determine the impact of COVID-19 on the stock markets of Pakistan
(Islamabad), China (Shanghai), and the United States of America (New York). These three …

Machine learning approach for forecast analysis of novel COVID-19 scenarios in India

AK Srivastava, SM Tripathi, S Kumar… - Ieee …, 2022 - ieeexplore.ieee.org
The novel coronavirus (nCOV) is a new strain that needs to be hindered from spreading by
taking effective preventive measures as swiftly as possible. Timely forecasting of COVID-19 …

[HTML][HTML] Mathematical models supporting control of COVID-19

B Deng, Y Niu, J Xu, J Rui, S Lin, Z Zhao, S Yu… - China CDC …, 2022 - ncbi.nlm.nih.gov
Mathematical models have played an important role in the management of the coronavirus
disease 2019 (COVID-19) pandemic. The aim of this review is to describe the use of COVID …