Coronary CT angiography derived features for predicting an abnormal pet myocardial perfusion imaging: a machine learning approach
Sign Up to like & getrecommendations! Published in 2020 at "European Heart Journal"
DOI: 10.1093/ehjci/ehaa946.3455
Abstract: Computed Tomography Coronary Angiography (CTCA) is an effective non-invasive imaging modality for anatomo-functional assessment of coronary artery disease (CAD). Machine learning (ML) algorithms allow extraction and process of useful information from multidimensional spaces for evaluation… read more here.
Keywords: machine learning; myocardial perfusion; auc sens; sens spec ... See more keywords
0955 Evaluating state-of-the-art algorithms for sleep-wake classification using wrist-worn wearable devices
Sign Up to like & getrecommendations! Published in 2023 at "SLEEP"
DOI: 10.1093/sleep/zsad077.0955
Abstract: Over the last 40 years, a variety of algorithms have been proposed to classify sleep-wake from wrist acceleration data. Input features into these algorithms have been activity counts or raw acceleration. The algorithms proposed range… read more here.
Keywords: sleep wake; rmse; sens spec; model ... See more keywords