Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
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 ...
AI agents help businesses stop guessing — linking predictions to actions so teams can move from “what might happen” to ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Introduction Perinatal depression poses substantial risks to both mothers and their offspring. Given its chronic and ...
Introduction Mobile health (mHealth) technologies have become increasingly popular for monitoring mental health symptoms and lifestyle behaviours, and are largely reported to be feasible and ...
BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
When everyone has access to the same AI models, the same AI-enabled tools, and the same vendor ecosystem, organizational ...
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