An ensemble-based multi-view learning approach with an ECG augmentation technique is proposed to achieve higher performance than traditional automatic 12-lead ...

Jul 30, 2022 · This study proposes an ensemble-based multi-view learning approach with an ECG augmentation technique to achieve a higher performance than ...

Mar 29, 2023 · Here, an ensemble-based multi-view learning approach with an ECG augmentation technique is proposed to achieve higher performance than ...

Mar 29, 2023 · Here, an ensemble-based multi-view learning approach with an ECG augmentation technique is proposed to achieve higher performance than ...

This study proposes an ensemble-based multi-view learning approach with an ECG augmentation technique to achieve a higher performance than traditional automatic ...

Jun 30, 2023 · ... Multi-View Learning Approach to Enhance Automatic 12-Lead. Electrocardiogram (ECG) Diagnosis Performance. J Clin Chem Lab Med.6:270. Copyright ...

Jul 30, 2022 · This study proposes an ensemble-based multi-view learning approach with an ECG augmentation technique to achieve a higher performance than ...

A Multi-View learning approach to enhance automatic 12-Lead ECG diagnosis performance ... Authors: Jae-Won Choi; Dae-Yong Hong; Chan Jung; Eugene Hwang; Sung-Hyuk ...

Apr 9, 2020 · The DNN outperform cardiology resident medical doctors in recognizing 6 types of abnormalities in 12-lead ECG recordings, with F1 scores above 80% and ...

Multi-View Learning is a machine learning framework where data are represented by multiple distinct feature groups, and each feature group is referred to as ...