How can i train a model using multi-label data

Hi all,

currently i am working on implementing a classfication model using 12 lead ECG data. I am using Matlab R2020a version.

The dataset that i am using is labelled as follows,

{"NORM": 100.0, "LVOLT": 0.0, "SR": 0.0}

{"NORM": 80.0, "SBRAD": 0.0}

As an initial step I transformed 12 lead ECG signals to a single lead.

Now i am bit confused and stucked how to use these two data as parameter to train a ML model. Becuase there are very limited sources that use multi-label data.

And also please suggest me some multi-label classifcation algorithms that can provide good result when dealing with ECG signals.

I found this blog, which is really help full.

https://www.mathworks.com/help/textanalytics/ug/multi-label-text-classification-using-deep-learning.html?searchHighlight=multi%20label&s_tid=srchtitle

Please help me guys to overcome this issue.

Thanks and best regards.