Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

Abstract: Nowadays, unmanned aerial vehicle (UAV) remote sensing (RS) data are key operational sources used to produce a reliable building damage map (BDM), which is of great importance in instant ...

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

Pneumonia Severity Index (PSI) and C-reactive protein values were the most important variables for CAP mortality prediction, followed by glucose, sodium, and urea levels. A machine learning (ML)-based ...

Abstract: Trailer mass is one of the important trailer parameters that affects the stability of the tractor-trailer systems. In this paper, two different approaches are proposed to estimate trailer ...

Liquid Biopsy Monitoring in BRAF V600E–Mutated Patients With Non–Small Cell Lung Cancer Treated With Dabrafenib Plus Trametinib: The Prospective, Multicenter LiBRA Study (GOIRC-03-2020) We analyzed a ...

Objectives Diagnostic reasoning in systemic lupus erythematosus (SLE) is a complex process reflecting the probability of disease at a given timepoint against competing diagnoses. We applied machine ...

This is a syndicated post stub. Machine Learning-Based Model May Predict In-Hospital CAP Mortality ...

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a digital “assistant” or struggling to find a new refrigerator that doesn’t ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...