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Airport data: type(small_airport, medium_airport, large_airport, heliport, etc) coordinates (latitude, longitude), elevation, etc
Dataset from ourairports
The aim is to distinguish between the presence and absence of cardiac arrhythmia and to classify it in one of the 16 groups:
- Class 01 refers to 'normal' ECG
- Classes 02 to 15 refers to different classes of arrhythmia
- Class 16 refers to the rest of unclassified ones.
For the time being, there exists a computer program that makes such a classification. However there are differences between the cardiolog's and the programs classification. Taking the cardiolog's as a gold standard we aim to minimise this difference by means of machine learning tools.