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Published at December 10Explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated study
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Released Date: December 10, 2024
Authors: Juan Miguel Lopez Alcaraz1, Wilhelm Haverkamp2, Nils Strodthoff1
Aff.: 1Carl von Ossietzky Universitat Oldenburg; 2Charite University Medicine

| Variable | MIMIC-IV-ECG | ECG-View II |
|---|---|---|
| Gender (%) | ||
| Female | 226,892 (48.50) | 375,733 (48.44) |
| Male | 240,837 (51.49) | 399,802 (51.55) |
| Age (%) | ||
| Median years (IQR) | 66 (25) | 52 (25) |
| Quantile 1 | 18-53 (23.83) | 18-40 (24.03) |
| Quantile 2 | 53-66 (25.16) | 40-52 (25.75) |
| Quantile 3 | 66-78 (25.60) | 52-65 (24.94) |
| Quantile 4 | 78-101 (25.40) | 65-109 (25.28) |
| ECG features (IQR) | ||
| RR-interval | 769 (264) | 857 (227) |
| PR-interval | 158 (38) | 158 (28) |
| QRS-duration | 94 (23) | 90 (14) |
| QT-interval | 394 (68) | 392 (48) |
| QTc-interval | 447 (47) | 421 (37) |
| P-wave-axis | 51 (32) | 53 (28) |
| QRS-axis | 13 (61) | 48 (49) |
| T-wave-axis | 42 (58) | 44 (33) |