Predicting Disease Outbreaks Using Social Media: Finding Trustworthy UsersBiosurveillanceSocial mediaTwitterTrustThe use of Internet data sources, in particular social media, for biosurveillance has gained attention and credibility in recent years. Finding related and reliable posts on social media is key...
Predicting Infectious Disease using Deep Learning and Big Data. Int J Environ Res Public Health. 2018;15(8). https://doi.org/10.3390/ijerph15081596. Zhang J, Nawata K. A comparative study on predicting influenza outbreaks. Biosci Trends. 2017;11(5):533–41. https://doi.org/10.5582/bst...
potentially spreading disease within their communities. The dispersion of participants also poses a challenge for traditional surveillance methods. The ubiquitous use of the Internet may enable the detection of disease outbreaks through analysis of data generated by users during events ...
6.2 Machine learning model for COVID-19 Initially, machine learning models, including logistic regression and Support Vector Machine (SVM) were applied to build a model for predicting survival chances. Logistic Regression (LR) is employed to perform the prediction with 4000 iterations. The LR model...
CovEWS (linear). A linear time-varying survival Cox model as described in “Time-varying Covariates” trained using the same Optum training set and using the same pipeline as the non-linear CovEWS. We used the implementation provided in version 0.24.8 of the lifelines20 Python package. ...
The method presented a data-oriented approach that applies time-series analysis and association analysis to reveal meaningful hidden patterns for efficient handling of another pandemic crisis. ARIMA models have been successfully applied for predicting the disease outbreak. Several studies have utilized the...
Since its first outbreak, Coronavirus Disease 2019 (COVID-19) has been rapidly spreading worldwide and caused a global pandemic. Rapid and early detection is essential to contain COVID-19. Here, we first developed a deep learning (DL) integrated radiomics model for end-to-end identification of...
Prediction plots for the number of COVID-19 patients that would rise in the next 5 days for some countries, where an exponential increase in the curve is expected or the rise in the cases would remain constant. Various machine learning models were deployed for predicting the outbreak. The bla...
Fine lines and wrinkles are a natural part of aging that can be caused by hormonal changes, disease, smoking, sun damage, and aging.¹⁵ Integrating tretinoin into your skincare routine Elise Griffin, PA-C, shares her clinical experience:“When tretinoin is first started, irritation, dryne...
Hand-foot-mouth disease (HFMD) is a common infectious disease in children and is particularly severe in Guangxi, China. Meteorological conditions are known to play a pivotal role in the HFMD. Previous studies have reported numerous models to predict the