A strategic approach is needed to address scraping risks and safeguard intellectual capital from automated data harvesting.

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Objectives To examine outcomes from respiratory pathogens containment strategies focused on international travellers. Design We developed a compartmental model generalisable to respiratory infectious ...