A confusing contradiction is unfolding in companies embracing generative AI tools: while workers are largely following mandates to embrace the technology, few are seeing it create real value. Consider ...
The S&P 500’s top-heavy nature is a double-edged sword. Mega-cap growth stocks can single-handedly drive the index to new highs. But they can also accelerate the impact of a sell-off. But the S&P 500 ...
Abstract: Conformal prediction (CP) is known to theoretically guarantee prediction interval coverage under the exchangeability assumption. However, industrial time series collected from real-world ...
eResearch Unit of General Practice, Department of Public Health and the Centre for Muscle and Joint Health, University of Southern Denmark, Odense, Denmark ...
Background: Chronic digestive system diseases (CDSD) pose a major health challenge worldwide, significantly increasing morbidity and mortality rates. The frailty index is crucial for assessing patient ...
This project focuses on developing a robust streamflow prediction model for the Rio Puerco basin in New Mexico, leveraging a meta-learning approach that combines multiple prediction methods. The core ...
Ebstein's anomaly and tricuspid valve dysplasia are associated with perinatal mortality approaching 50% and are among the most difficult fetal conditions to manage. Prediction of perinatal mortality ...
fInfection, Immunity and Inflammation Research and Teaching Department, UCL GOS Institute of Child Health, University College London, UK ...
ABSTRACT: Introduction: Breast Cancer (BC) remains a significant health concern worldwide, and accurate prediction of its recurrence after surgery is vital for patient management and treatment ...
It’s long been a goal in medicine to better understand the long trajectories of diseases in hopes of engaging in better prevention and early intervention. “Collectively, they’re (chronic and ...
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