Risk prediction for cardiovascular disease using ECG data in the China Kadoorie Biobank
We set out to use machine learning techniques to analyse ECG data to improve risk evaluation of cardiovascular disease in a very large cohort study of the Chinese population. We performed this investigation by (i) detecting “abnormality” using 3 one-class classification methods, and (ii) predicting...
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| Format: | Conference item |
| Published: |
Institute of Electrical and Electronics Engineers
2016
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