MAESTRO analysis of OpenAI and Anthropic incidents reveals how per-layer failures, not just the model, shaped security outcomes.
Artificial intelligence (AI)-based prediction models, including risk scoring systems and decision support systems, are being ...
Clinical research has long rested on a familiar triad: the randomized trial, the carefully curated cohort, and the cross-sectional survey. Each has its ...
Data imputation and feature selection were performed, and synthetic minority oversampling technique (SMOTE) augmentation was applied to the internal training dataset to improve the diagnostic ...
Phone surveys emerged as a critical data collection tool in low- and middle-income countries during the COVID-19 pandemic and ...
Raad, de Turckheim, and Yokoyama have received support from SmartBiotic for the present manuscript. Mutisya, de Turckheim, Raad, and Yokoyama have received consulting fees from SmartBiotic.
Abstract: Machine learning (ML) estimators used for battery state of charge (SOC) prediction are vulnerable to missing measurement data and therefore require data imputation techniques to replace ...
Tuberculosis (TB) remains a global health challenge, with heterogeneous treatment outcomes despite standardized protocols. Traditional statistical models struggle with high-dimensional clinical data, ...
The Bureau of Labor Statistics is reducing or ending the collection of data that is used to calculate the Consumer Price Index. By Ben Casselman Federal Reserve policymakers have stressed that their ...
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