A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Trustworthy AI isn’t just about predicting the right outcome; it’s about knowing how confident we should actually be.
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Heart specialists at Mayo Clinic today presented new research at the 2026 Society of Thoracic Surgeons Annual Meeting that redo surgery for adults with congenital heart disease (CHD) remains high-risk ...
A higher oxidative balance score (OBS), a composite indicator of pro- and antioxidant exposures, is associated with increased odds of allergic rhinitis (AR) in an adjusted analysis, according to a ...
Elon Musk’s electric car company said the new versions would start at around $37,000 and $40,000, prices that bring its cars closer to comparable gasoline vehicles. By Jack Ewing Tesla on Tuesday ...
Development and validation of a diagnostic model for tuberculous meningitis based on laboratory data
We developed and validated a diagnostic scoring system for tuberculous meningitis (TBM) using 13 laboratory parameters, comparing tuberculous meningitis (TBM) and non-tuberculous meningitis (non-TBM).
The Army operates in complex operational environments and faces unprecedented challenges that create adversity for sustainment capabilities. Evolving threats, contested logistics, and the tyranny of ...
In this project, we leverage the power of artificial intelligence in healthcare to predict lung cancer risks. By employing various machine learning techniques, we aim to assist medical professionals ...
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