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Reply to Okura et al. Comment on “Pu et al. Predicting Postoperative Lung Cancer Recurrence and Survival Using Cox Proportional Hazards Regression and Machine Learning. Cancers 2025, 17, 33”

Cancers(2025)10.3390/cancers17050727Source: DataRank Database

Reply to Okura et al. Comment on “Pu et al. Predicting Postoperative Lung Cancer Recurrence and Survival Using Cox Proportional Hazards Regression and Machine Learning. Cancers 2025, 17, 33” is a research paper published in Cancers (2025). On theSindex it has a DataRank of 0. It has been cited 2 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access2 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)OA: goldTopics (17)IDs (PubMed, 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)

Rajeev Dhupar ORCID,Xin Meng ORCID,Lucy Pu

Live enrichment

PubMed:40075575 OpenAlex:https://openalex.org/W4407844822

National Institutes of Health (NIH)

Grant: R01CA237277

National Institutes of Health

Grant: 3R01CA237277-02S1

Macro-vasculature: A Novel Image Biomarker of Lung Cancer

goldLicense: cc-by

journalhttps://www.mdpi.com/2072-6694/17/5/727/pdf?version=1740123961

publisherhttps://www.mdpi.com/2072-6694/17/5/727/pdf?version=1740123961

publisherhttps://www.mdpi.com/2072-6694/17/5/727/pdf

journalhttps://doi.org/10.3390/cancers17050727

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40075575

Fields of Study

Radiomics and Machine Learning in Medical ImagingLung Cancer Diagnosis and Treatment03 medical and health sciences0302 clinical medicine

Keywords

Proportional hazards modelLung cancerConstructiveRegressionMedicineRegression analysisOncologyMedical physicsStatisticsInternal medicineMathematicsComputer scienceReply

Sustainable Development Goals

SDG 0: Good health and well-being