A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

We trained models using logistic regression (LR) and four commonly used ML algorithms to predict NCGC from age-/sex-matched controls in two EHR systems: Stanford University and the University of ...

We dig into this influential annual report that offers a snapshot of the American economy via the lens of the logistics sector and its role in overall supply chains. The report concludes… ...

Logistic Regression classification method is used to separate variable stars from nonvariable stars. The light blue points show nonvariable sources, while the violet show variable sources. The ...

The need to deliver on rapidly evolving customer expectations and simultaneously ensure profitability are driving businesses to rethink the way they have been executing supply chain and logistics ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...