Big data and variceal rebleeding prediction in cirrhosis patients

doi:10.35712/aig.v4.i1.1

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 4, Issue 1

This Article

Academic Content and Language Evaluation of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Number of Hits and Downloads for This Article

Total Article Views (3435)

All Articles published online

The chart showing PDF series, WORD series, HTML series, Figures (1-1) series.

Item

Count

PDF

WORD

HTML

1696

Figures (1-1)

286

Sum=2089

Featured Article

The chart showing Browse series, Download series.

Item

Count

Browse

188

Download

548

Sum=736

Publishing Process of This Article

Item

Count

Browse

165

Download

356

Sum=521

Jun 8, 2023 (publication date) through Nov 11, 2024

Times Cited of This Article

Times Cited (1)

Journal Information of This Article

Publication Name

Artificial Intelligence in Gastroenterology

ISSN

2644-3236

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Minireviews

Artif Intell Gastroenterol. Jun 8, 2023; 4(1): 1-9
Published online Jun 8, 2023. doi: 10.35712/aig.v4.i1.1

Full Size Figure Download Figure

Figure 1 Six “V”s of big data.

Citation: Yuan Q, Zhao WL, Qin B. Big data and variceal rebleeding prediction in cirrhosis patients. Artif Intell Gastroenterol 2023; 4(1): 1-9
URL: https://www.wjgnet.com/2644-3236/full/v4/i1/1.htm
DOI: https://dx.doi.org/10.35712/aig.v4.i1.1