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Domain knowledge enhanced deep learning for electrocardiogram arrhythmia classification
Deep learning provides an effective way for automatic classification of cardiac arrhythmias, but in clinical decision-making, pure data-driven methods working as black-boxes may lead to unsatisfactory results. A promising solution is combining domain knowledge with deep learning. This paper develops...
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| Published in: | Frontiers of information technology & electronic engineering 2023, Vol.24 (1), p.59-72 |
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| cites | cdi_FETCH-LOGICAL-c269t-5589cd6a1a41ea5ff6bd3e53d46667d9823f782d1279813623c18e6a1f447d983 |
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| container_title | Frontiers of information technology & electronic engineering |
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| creator | Sun, Jie |
| description | Deep learning provides an effective way for automatic classification of cardiac arrhythmias, but in clinical decision-making, pure data-driven methods working as black-boxes may lead to unsatisfactory results. A promising solution is combining domain knowledge with deep learning. This paper develops a flexible and extensible framework for integrating domain knowledge with a deep neural network. The model consists of a deep neural network to capture the statistical pattern between input data and the ground-truth label, and a knowledge module to guarantee consistency with the domain knowledge. These two components are trained interactively to bring the best of both worlds. The experiments show that the domain knowledge is valuable in refining the neural network prediction and thus improves accuracy. |
| doi_str_mv | 10.1631/FITEE.2100519 |
| format | article |
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| identifier | ISSN: 2095-9184 |
| ispartof | Frontiers of information technology & electronic engineering, 2023, Vol.24 (1), p.59-72 |
| issn | 2095-9184 2095-9230 |
| language | eng |
| recordid | cdi_wanfang_journals_zjdxxbc_e202301004 |
| source | Springer Nature |
| subjects | Artificial neural networks Cardiac arrhythmia Classification Communications Engineering Computer Hardware Computer Science Computer Systems Organization and Communication Networks Decision making Deep learning Electrical Engineering Electrocardiography Electronics and Microelectronics Instrumentation Knowledge Logic Machine learning Networks Neural networks |
| title | Domain knowledge enhanced deep learning for electrocardiogram arrhythmia classification |
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