Machine-learning physiologic signal model achieved 90% sensitivity and 99% negative predictive value for ischemia detection in symptomatic patients The model showed strong sensitivity in both ...
Research from a team at the University of Texas at Dallas shows the potential for detecting mental health disorders by ...
A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...
In recent years, the intersection of artificial intelligence (AI), machine learning (ML), and acoustic signal processing has emerged as a rapidly advancing field, offering new ways to analyze, ...
A study presents a machine learning approach to accurately detect ionospheric amplitude scintillations, a phenomenon that significantly impacts Global Navigation Satellite System (GNSS) signals. By ...
Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...
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