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Assessing the Prognostic Utility of Clinical and Radiomic Features for COVID-19 Patients Admitted to ICU: Challenges and Lessons Learned

PubMed(2023)10.1162/99608f92.9d86a749Source: DataRank Database

Assessing the Prognostic Utility of Clinical and Radiomic Features for COVID-19 Patients Admitted to ICU: Challenges and Lessons Learned is a research paper published in PubMed (2023). On theSindex it has a DataRank of 0. It has been cited 2 times.

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Open Access2 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (4 grants)Impact (FWCI 0.31)OA: goldTopics (26)IDs (PubMed, PMC, OpenAlex)Annotations (1)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 (12)

Stephen Salerno ORCID,Ziyang Pan ORCID,Eileen Yang ORCID,Chinakorn Sujimongkol ORCID,Jiyeon Song ORCID

Live enrichment

PubMed:38974963 PMC:PMC11225107 OpenAlex:https://openalex.org/W4389987872

NCI NIH HHS

Grant: R01 CA269398

NHLBI NIH HHS

Grant: R01 HL173128

NCI NIH HHS

Grant: R01 CA249096

National Institutes of Health

Grant: 5R01CA249096-03

New Statistical Methods for Modelling Cancer Outcomes

FWCI

0.31

Citation Percentile

0.6%

Citation Trend

2024

goldLicense: cc-by

journalhttps://hdsr.mitpress.mit.edu/pub/ju1nvjw6/download/pdf

GOLDhttps://hdsr.mitpress.mit.edu/pub/ju1nvjw6/download/pdf

publisherhttps://hdsr.mitpress.mit.edu/pub/ju1nvjw6/download/pdf

journalhttps://doi.org/10.1162/99608f92.9d86a749

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38974963

Fields of Study

Radiomics and Machine Learning in Medical ImagingCOVID-19 diagnosis using AICOVID-19 and healthcare impactsMedicineEnvironmental Science

Keywords

Coronavirus disease 2019 (COVID-19)Intensive care unitWorkflowMedicineIntensive care medicineMEDLINECritically illIntensive careEmergency medicineArtificial intelligenceMedical physicsComputer scienceInternal medicineDiseaseX-ray imagingMachine LearningSurvival PredictionCovid-19Electronic computers. Computer scienceQA75.5-76.95Article

Sustainable Development Goals

SDG 0: Good health and well-being

Assessing the Prognostic Utility of Clinical and Radiomic Features for COVID-19 Patients Admitted to ICU: Challenges and Lessons Learned

FAIR Checklist

Authors (12)

Funding (4 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)