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COVID-Classifier: an automated machine learning model to assist in the diagnosis of COVID-19 infection in chest X-ray images

Scientific Reports(2021)10.1038/s41598-021-88807-2Source: DataRank Database

COVID-Classifier: an automated machine learning model to assist in the diagnosis of COVID-19 infection in chest X-ray images is a research paper published in Scientific Reports (2021). On theSindex it has a DataRank of 7.7. It has been cited 187 times, with 184 citing works in its 1-hop citation network.

N/A

7.7DataRank · unranked

Scored on demand from live citation data

Open Access187 citations · 184 citing works in its network

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DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)OA: goldTopics (20)IDs (PubMed)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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DataRank Breakdown

Base Score 10%Citation Network 90%

Base Score Contribution

0.785

From this paper's citation signal

Citation Network Contribution

7.0

From 149 citing papers with measurable signal

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Top 5 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 184 citers.

Study of X Ray Detection Using CNN in Machine Learning
Communications in computer and information science202231 citations8 referencesContributes 0.433
So You Need Datasets for Your COVID-19 Detection Research Using Machine Learning?
arXiv (Cornell University)202010 citations7 referencesContributes 0.343
D3SENet: A hybrid deep feature extraction network for Covid-19 classification using chest X-ray images
Biomedical Signal Processing and Control202332 citations22 referencesContributes 0.159
Explainable Artificial Intelligence for Bias Detection in COVID CT-Scan Classifiers
Sensors202144 citations26 referencesContributes 0.146
Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study
The Lancet Digital Health2021128 citations34 referencesContributes 0.143

Authors (3)

Morteza Heidari ORCID,S. Ali Shariati ORCID,Abolfazl Zargari Khuzani

Live enrichment

PubMed:26207759

National Institute of General Medical Sciences

Grant: NIGMSK99GM126027

National Institutes of Health

Grant: 1K99GM126027-01

Determining feedback mechanisms between cell cycle and cell fate in pluripotent cells

goldLicense: cc-by

publisherhttps://www.nature.com/articles/s41598-021-88807-2.pdf

publisherhttps://www.nature.com/articles/s41598-021-88807-2

repositoryhttps://escholarship.org/content/qt0nf4n60r/qt0nf4n60r.pdf

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/8110795

repositoryhttps://doaj.org/article/8f5178986e1c44ad86fb1f2ff3a40e4c

Fields of Study

02 engineering and technology0202 electrical engineering, electronic engineering, information engineering

Keywords

SARS-CoV-2ThoracicScienceQRCOVID-19Reproducibility of ResultsThoraxArticleRadiographyDiagnosis, DifferentialMachine LearningROC CurveDiagnosisDifferentialMedicineHumansRadiography, Thoracic

Sustainable Development Goals

SDG 3: 3. Good healthSDG 6: 6. Clean water