National precipitation forecasting has for decades been hamstrung by static and inadequate climate models, but new tools are ...
Mobilunity’s Staff Services Director, Yulia Borysenko – with over a decade of IT HR leadership – offers data-driven ...
True ROI for R&D won't come from the tool that generates 10,000 new ideas. It will come from the tool that confidently tells ...
Abstract: The high performance of conventional model predictive control (CMPC) for electric drives depends on the fidelity of the machine’s parametric model. However, the parameters of the interior ...
We invite you to join our industry specialists for a virtual session on how to use Bloomberg functionality in Excel. This ...
Jon McManus, Inova’s chief data and AI officer, says that as the number of AI solutions deployed multiply, health systems ...
Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...
Abstract: Credit card fraud detection presents a significant challenge due to the extreme class imbalance in transaction datasets. Traditional machine learning models struggle to achieve high recall ...
Objective: To identify risk factors for oral mucosal pressure injury (OMPI) in intensive care unit (ICU) patients undergoing orotracheal intubation and to develop and validate a risk prediction ...
Objective: To explore the risk factors of cognitive dysfunction in patients with leukoaraiosis (LA) and to construct a predictive model using machine learning. Methods: A total of 273 patients with LA ...
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