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Augmenting Quality Assurance Measures in Treatment Review with Machine Learning in Radiation Oncology

UNC Libraries(2025)10.17615/3fkf-w313Source: DataRank Database

Augmenting Quality Assurance Measures in Treatment Review with Machine Learning in Radiation Oncology is a research paper published in UNC Libraries (2025). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (1 grants)Impact (FWCI 0.00)OA: greenTopics (18)IDs (PubMed, OpenAlex)

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 (8)

John Dooley ORCID,Bhishamjit S. Chera ORCID,Shiva K. Das,Łukasz Mazur ORCID,Karthik Adapa ORCID

Live enrichment

PubMed:26657633 OpenAlex:https://openalex.org/W4414586542

National Institutes of Health

Grant: 5T15LM012500-05

An Interdisciplinary Program for Advanced Training in Health Data Analytics

FWCI

0.00

Citation Percentile

0.4%

greenLicense: CC BY NC ND

repositoryhttps://doi.org/10.17615/3fkf-w313

https://doi.org/10.1016/j.adro.2023.101234

https://dx.doi.org/10.17615/3fkf-w313

https://pubmed.ncbi.nlm.nih.gov/37205277

http://dx.doi.org/10.1016/j.adro.2023.101234

Fields of Study

Radiomics and Machine Learning in Medical ImagingRadiation Dose and ImagingArtificial Intelligence in Healthcare and Education0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Quality assuranceRandom forestChartDecision treeSupport vector machineAdaBoostFeature (linguistics)WorkloadMedical physics. Medical radiology. Nuclear medicineR895-920Neoplasms. Tumors. Oncology. Including cancer and carcinogensScientific ArticleRC254-282