Can machine learning improve patient selection for cardiac resynchronization therapy?
Rationale Multiple clinical trials support the effectiveness of cardiac resynchronization therapy (CRT); however, optimal patient selection remains challenging due to substantial treatment heterogeneity among patients who meet the clinical practice guidelines. Objective To apply machine learning to...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS),
2020-04-01T11:48:27Z.
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| Subjects: | |
| Online Access: | Get fulltext |