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COVID-19-ECG-Classification

imported

software/covid-19-ecg-classification

This repository contains the source codes of the article published to detect changes in ECG caused by COVID-19 and automatically diagnose COVID-19 from ECG data.

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

COVID-19-ECG-Classification project image
GitHub preview card for mkfzdmr/COVID-19-ECG-Classification. 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
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Repository
github.com/mkfzdmr/COVID-19-ECG-Classification
Documentation
unknown
Tags
artificial-intelligence · convolutional-neural-networks · corona · coronavirus · covid · covid-19 · covid-19-data · covid19
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

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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  • cs329s-covid-predictionartificial-intelligence · covid · covid-19 · covid19

    This repository is a work-in-progress ML production pipeline for detecting Covid-19 from cough sounds and clinical information.

  • covid19-severity-predictioncoronavirus · covid-19 · covid-19-data

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  • coronavirus-hospital-onset-dashboardcovid · covid-19 · covid19

    This is an R Shiny dashboard for producing Trust level counts of healthcare associated COVID-19 infections in England.

  • covasimcoronavirus · covid · covid-19

    COVID-19 Agent-based Simulator (Covasim): a model for exploring coronavirus dynamics and interventions

sources
  1. api.github.com/repos/mkfzdmr/COVID-19-ECG-Classification
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-08-27, 23 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 →

machine-readable

/v1/entries/18.json→ .entries["covid-19-ecg-classification"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.