We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Under the influence of global warming, the Arctic is transitioning from a state dominated by multi-year thick ice to a "New ...
This paper systematically analyzes the market dynamics of the pet industry in China and globally based on multiple linear regression and ARIMA models. First, for the Chinese market, this paper ...
By 2050, construction's carbon footprint may double, jeopardizing climate targets. Transitioning to low-carbon materials is ...
Abstract: Predictive Process Monitoring (PPM) techniques leverage incomplete execution traces and historical event logs to predict outcomes, activities, and remaining time in ongoing processes.
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How to run R-style linear regressions in Python the easy way
The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate correlation coefficient. If you look at the multiple regression we did, ...
Introduction: Urban greening is widely recognized as an important factor in human health. However, existing studies have yielded inconsistent conclusions regarding its health benefits, partly due to ...
Introduction: Although the co-morbidity of chronic diseases and depression has been widely documented, its psychosocial mechanisms have not been systematically explored. This study analyzed the impact ...
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