Robotics & Machine Learning Daily News2024,Issue(Jul.3) :104-105.

University of Salento Researcher Broadens Understanding of Machine Learning (Mac hine Learning Algorithms for Processing and Classifying Unsegmented Phonocardiog raphic Signals: An Efficient Edge Computing Solution Suitable for Wearable Devic es)

Robotics & Machine Learning Daily News2024,Issue(Jul.3) :104-105.

University of Salento Researcher Broadens Understanding of Machine Learning (Mac hine Learning Algorithms for Processing and Classifying Unsegmented Phonocardiog raphic Signals: An Efficient Edge Computing Solution Suitable for Wearable Devic es)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New study results on artificial intelligence have been published. According to news originating from Lecce, Italy, by NewsRx corr espondents, research stated, “The phonocardiogram (PCG) can be used as an afford able way to monitor heart conditions. This study proposes the training and testi ng of several classifiers based on SVMs (support vector machines), k-NN (k-Neare st Neighbor), and NNs (neural networks) to perform binary (“Normal”/”Pathologic” ) and multiclass (“Normal”, “CAD” (coronary artery disease), “MVP” (mitral valve prolapse), and “Benign” (benign murmurs)) classification of PCG signals, withou t heart sound segmentation algorithms.” Funders for this research include Italian Ministry of Health; “sistema Di Monito raggio Ed Analisi Basato Su Intelligenza Artificiale Per Pazienti Affetti Da Sco mpenso Cardiaco Cronico Con Dispositivi Medici Miniinvasivi E Indossabili Evolut i-smart Care”.

Key words

University of Salento/Lecce/Italy/Eur ope/Algorithms/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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