Abstract: This study presents an interpretable machine learning approach for predicting hospital readmission risk in diabetic patients using the XGBoost algorithm combined with SHAP (SHapley Additive ...
Abstract: This study investigates the application of machine learning in sleep health analytics. It focuses on classification problems relevant to the detection of sleep disorders with a view to ...
This repository contains the core recommendation system powering the "For You" feed on X. It combines in-network content (from accounts you follow) with out-of-network content (discovered through ...
The role of machine learning and deep learning in wildfire prediction remains limited by geographic concentration, uneven ...
AI dependence among university students is driven less by routine use and more by the reasons students turn to the technology ...
Yeshwanth Macha developed explainable AI models improving insurance fraud detection accuracy, transparency, compliance and ...
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Spine Rehab in 2026: How New Research, AI, and MedBridge CE Are Reshaping Your Practice
The landscape of spine rehabilitation is shifting rapidly in 2026, driven by fresh insights into the gut-disc axis, AI-driven diagnostics, and a renewed focus on functional resilience over imaging ...
The NBA has formed a multi-year partnership with Amazon Web Services to create 'NBA Inside the Game powered by AWS,' an AI-driven platform delivering real-time statistics and interactive features.
This retrospective cohort study enrolled 538 urodynamically evaluated BPH patients. A rigorous multidimensional feature selection pipeline (LASSO, Boruta, and Recursive Feature Elimination) distilled ...
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