Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
Meta-analysis indicates that network-targeted noninvasive brain stimulation consistently enhances memory function supported by the hippocampal network, thus providing robust evidence that specific ...
Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Chennai, India Introduction: The increasing incidence and high mortality rate of necrotizing fasciitis (NF), a ...
Background The hepatitis C virus (HCV)—a communicable disease of global health concerns—affects approximately 20% of the Rohingya refugee population in Cox’s Bazar, Bangladesh, which is higher than ...
Quant trading uses math and data to predict stock price changes and execute trades quickly. Computers in quant trading base decisions on data, removing the emotional risks of investing. Retail access ...
Below is Validea's guru fundamental report for DOORDASH INC (DASH). Of the 22 guru strategies we follow, DASH rates highest using our Quantitative Momentum Investor model based on the published ...
Abstract: Imbalanced datasets are prevalent in real life. The imbalanced datasets pose challenges for classification and regression tasks. Compared to imbalanced classification, imbalanced regression ...
Introduction: Dental impaction is a significant clinical challenge that requires advanced predictive modeling and healthcare analytics approaches. Impaction, a tooth alignment issue, is diagnosed ...
ABSTRACT: This study aimed at assessing the influence of social media marketing on profitability of commercial banks in Mwanza city, Tanzania. Also, the study employed Performance Theory which guided ...
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