Age and Sex Estimation Using Artificial Intelligence From Standard 12-Lead ECGs
Sex and age have long been known to affect the ECG. Several biologic variables and anatomic factors may contribute to sex and age-related differences on the ECG. We hypothesized that a convolutional neural network (CNN) could be trained through a process called deep learning to predict a person'...
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| Vydané v: | Circulation. Arrhythmia and electrophysiology Ročník 12; číslo 9; s. e007284 |
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| Hlavní autori: | , , , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
United States
01.09.2019
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| Predmet: | |
| ISSN: | 1941-3084, 1941-3084 |
| On-line prístup: | Zistit podrobnosti o prístupe |
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