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ChatGPT-based biological and psychological data imputation

Meta-Radiology(2023)10.1016/j.metrad.2023.100034Source: DataRank Database

ChatGPT-based biological and psychological data imputation is a research paper published in Meta-Radiology (2023). On theSindex it has a DataRank of 0. It has been cited 12 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access12 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (12 grants)Impact (FWCI 1.56)OA: goldTopics (17)IDs (PubMed, PMC, OpenAlex)SDGs (1)

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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Authors (3)

Muhammad Nadeem Cheema ORCID,Ze Wang ORCID,Anam Nazir ORCID

Live enrichment

PubMed:38784385 PMC:PMC11115380 OpenAlex:https://openalex.org/W4388591728

National Institutes of Health

Grant: R01AG060054

National Institutes of Health

Grant: P41EB029460-01A1

National Institutes of Health

Grant: R01EB031080-01A1

National Institutes of Health

Grant: R01AG070227

National Institutes of Health

Grant: R21AG080518

National Institutes of Health

Grant: R21AG082345

Institute for Clinical and Translational Research, University of Wisconsin, Madison

Grant: 1UL1TR003098

NIBIB NIH HHS

Grant: P41 EB029460

NIBIB NIH HHS

Grant: R01 EB031080

NCATS NIH HHS

Grant: UL1 TR003098

Institute for Clinical and Translational Research, University of Wisconsin, Madison

University of Maryland, Baltimore County

FWCI

1.56

Citation Percentile

0.8%

Citation Trend

2024

2025

2026

goldLicense: cc-by

journalhttps://doi.org/10.1016/j.metrad.2023.100034

publisherhttps://doi.org/10.1016/j.metrad.2023.100034

publisherhttps://api.elsevier.com/content/article/PII:S2950162823000346?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2950162823000346?httpAccept=text/plain

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38784385

Fields of Study

Functional Brain Connectivity StudiesMachine Learning in HealthcareHealth, Environment, Cognitive Aging

Keywords

Imputation (statistics)Computer scienceMissing dataBiological dataData miningCorrelationArtificial intelligenceMachine learningMathematicsMedical imagingMissing ValuesChatgptLarge Language ModelBiological Data Imputation

Sustainable Development Goals

SDG 0: Quality Education