Model Quantifies Uncertainty in Kidney Function Decline for Diabetic Patients
Researchers have developed and internally evaluated a statistical model designed to predict the decline of kidney function in adults with ...
Researchers have developed and internally evaluated a statistical model designed to predict the decline of kidney function in adults with ...
Researchers have developed DeepANFIS, an end-to-end neuro-fuzzy framework that combines multiresolution convolution, temporal memory, and evidential deep learning to track ...
Researchers have developed a tree-based machine learning framework utilizing geotechnical distance fields to accurately map subsurface soil layers and quantify ...
An uncertainty-aware AI framework estimated blood glucose from PPG and GSR signals with low error on familiar subjects but performed ...
A generative adversarial network combined with an unscented Kalman filter reconstructed missing air-quality data across New York City, cutting prediction ...
An abstract reports that an uncertainty-aware proof-of-concept model classified 6,849 cervical-cell images with an AUC-ROC of 0.993, but synthetic auxiliary ...
An improved LSTM achieved mean NSE of 0.9633 and mean peak-discharge error of 3.90% in nine held-out flood events from ...
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© 2025 Scienmag - Science Magazine