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Predicting cholangiocarcinoma in primary sclerosing cholangitis: using artificial intelligence, clinical and laboratory data

BMC Gastroenterology(2023)10.1186/s12876-023-02759-7Source: DataRank Database

Predicting cholangiocarcinoma in primary sclerosing cholangitis: using artificial intelligence, clinical and laboratory data is a research paper published in BMC Gastroenterology (2023). On theSindex it has a DataRank of 0. It has been cited 26 times.

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0DataRank · unranked

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Open Access26 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (1 grants)Impact (FWCI 4.17)OA: goldTopics (27)Linked Datasets (4)DataCite Reuse (4)IDs (PubMed, PMC, OpenAlex)Annotations (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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Authors (8)

Ravishankar K. Iyer ORCID,Brian D. Juran,Bryan M. McCauley ORCID,Elizabeth J. Atkinson ORCID,John E. Eaton ORCID

Live enrichment

PubMed:37076803 PMC:PMC10114387 OpenAlex:https://openalex.org/W4366412090

NIDDK NIH HHS

Grant: RC2 DK118619

FWCI

4.17

Citation Percentile

1.0%

Citation Trend

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://bmcgastroenterol.biomedcentral.com/counter/pdf/10.1186/s12876-023-02759-7

publisherhttps://bmcgastroenterol.biomedcentral.com/counter/pdf/10.1186/s12876-023-02759-7

publisherhttps://link.springer.com/content/pdf/10.1186/s12876-023-02759-7.pdf

publisherhttps://link.springer.com/article/10.1186/s12876-023-02759-7/fulltext.html

journalhttps://doi.org/10.1186/s12876-023-02759-7

Fields of Study

Liver Diseases and ImmunityGallbladder and Bile Duct DisordersDrug Transport and Resistance Mechanisms

MeSH Terms

Artificial IntelligenceBile Duct NeoplasmsBile Ducts, IntrahepaticChenodeoxycholic AcidHumansSexually Transmitted DiseasesCholangitis, SclerosingInflammatory Bowel DiseasesCholangiocarcinoma

Keywords

MedicineInternal medicineCohortGastroenterologyPrimary sclerosing cholangitisUnivariate analysisCholic acidHepatologyBile acidMultivariate analysisDiseaseArtificial intelligenceCholangiocarcinomaBile acidsrisk factors

Additional file 1 of Predicting cholangiocarcinoma in primary sclerosing cholangitis: using artificial intelligence, clinical and laboratory data

10.6084/m9.figshare.22662494.v1figshare

Additional file 1 of Predicting cholangiocarcinoma in primary sclerosing cholangitis: using artificial intelligence, clinical and laboratory data

10.6084/m9.figshare.22662494figshare

Predicting cholangiocarcinoma in primary sclerosing cholangitis: using artificial intelligence, clinical and laboratory data

10.6084/m9.figshare.c.6607973.v1figshare

Predicting cholangiocarcinoma in primary sclerosing cholangitis: using artificial intelligence, clinical and laboratory data

10.6084/m9.figshare.c.6607973figshare

Predicting cholangiocarcinoma in primary sclerosing cholangitis: using artificial intelligence, clinical and laboratory data

FAIR Checklist

Authors (8)

Funding (1 grants)

Impact

Open Access

Topics

Linked Datasets (4)

Annotations (Europe PMC)