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ECG-Multi-Label-Classification-Using-Multi-Model

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software/ecg-multi-label-classification-using-multi-model

In this project, we will perform 12-lead ECG Multi-label Classification. Specifically, we will design a multi-model utilizing the characteristics of diagnoses from the Shaoxing and Ningbo databases.

Machine-generated from the listed sources and not yet reviewed by a human.

ECG-Multi-Label-Classification-Using-Multi-Model project image
GitHub preview card for JaeBinCHA7/ECG-Multi-Label-Classification-Using-Multi-Model. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
12-lead-ecg · biosignal · classification · deep-learning · dnn · ecg · ecg-classification · multi-model
Regulatory
unknown
built by · 1

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

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sources
  1. api.github.com/repos/JaeBinCHA7/ECG-Multi-Label-Classification-Using-Multi-Model
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2024-08-26, 11 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

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/v1/entries/9.json→ .entries["ecg-multi-label-classification-using-multi-model"]

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