How can i train a model using multi-label data

2020 12 9
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更新时间：2020 12 9
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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.

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Naveen F
Naveen F
2020-12-9

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Naveen F
Naveen F
2020-12-9

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