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 ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...
DeepSeek researchers have developed a technology called Manifold-Constrained Hyper-Connections, or mHC, that can improve the performance of artificial intelligence models. The Chinese AI lab debuted ...
Objective: To evaluate and to compare machine learning models for predicting hypertension in patients with diabetes using routine clinical variables. Methods: Using Behavioral Risk Factor Surveillance ...
APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals tree-based methods in predictive accuracy while offering ...
Dec 3 (Reuters) - OpenAI has agreed to acquire Neptune, a startup that provides tools that help companies track their AI model training, the ChatGPT maker said on Wednesday. While OpenAI did not ...
Background: Depression is highly prevalent among nursing students (28.7%–30%). Although previous studies have identified multiple influencing factors, the lack of ...
ABSTRACT: Atrial fibrillation (AF) is a leading cardiac arrhythmia associated with elevated mortality risk, particularly in low-resource settings where early risk stratification remains challenging.
Sept 19 (Reuters) - Apple (AAPL.O), opens new tab has told at least two suppliers to boost production of the entry-level model iPhone 17 by at least 30% after strong pre-orders last weekend, the ...
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