Multivariate timeseries multiclass classification challenge at Politecnico di Milano 2022
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Updated
Dec 25, 2022 - Jupyter Notebook
Multivariate timeseries multiclass classification challenge at Politecnico di Milano 2022
The solution for the AI-challenge hackathon is track Medicine. The task was to develop an algorithm for analyzing ECG signals for the diagnosis of cardiac pathologies, in particular, determining the presence or absence of signs of myocardial infarction in a patient (binary class.), followed by localization of the disease (multi-label class.)
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