The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...
Please provide your email address to receive an email when new articles are posted on . Machine learning models using continuous glucose monitor and demographic data were more accurate at estimating ...
A machine-learning method discovered a hidden clue in people's language predictive of the later emergence of psychosis -- the frequent use of words associated with sound. A paper published by the ...
In the world of machine learning and healthcare, one of the newest and emerging areas of exploration is understanding how to account for social and behavioral determinants of health (SBDoH) in ...
Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the vast majority of the artificial intelligence ...
The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, addressing long data lags and oil-driven distortions in headline GDP. By ...
AIQuant Labs has launched DexTrader.ai, a machine learning-powered investment platform designed to bring institutional-grade DEX trading and tokenized ...
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