Flap failure prediction in microvascular tissue reconstruction using machine learning algorithms

doi:10.12998/wjcc.v10.i12.3729

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 10, Issue 12

This Article

Academic Content and Language Evaluation 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 (6219)

All Articles published online

The chart showing PDF series, WORD series, HTML series, Figures (1-2) series, Tables (1-3) series.

Item

Count

PDF

365

WORD

176

HTML

3341

Figures (1-2)

400

Tables (1-3)

384

Sum=4666

Publishing Process of This Article

The chart showing Browse series, Download series.

Item

Count

Browse

396

Download

1157

Sum=1553

Apr 26, 2022 (publication date) through May 7, 2025

Times Cited of This Article

Times Cited (12)

Journal Information of This Article

Publication Name

World Journal of Clinical Cases

ISSN

2307-8960

Publisher of This Article

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

Retrospective Study

World J Clin Cases. Apr 26, 2022; 10(12): 3729-3738
Published online Apr 26, 2022. doi: 10.12998/wjcc.v10.i12.3729

Full Size Figure Download Figure

Figure 1 Receiver operating characteristic curve of the machine learning models in the testing set. AUC: Area under the curve; CI: Confidence interval.

Citation: Shi YC, Li J, Li SJ, Li ZP, Zhang HJ, Wu ZY, Wu ZY. Flap failure prediction in microvascular tissue reconstruction using machine learning algorithms. World J Clin Cases 2022; 10(12): 3729-3738
URL: https://www.wjgnet.com/2307-8960/full/v10/i12/3729.htm
DOI: https://dx.doi.org/10.12998/wjcc.v10.i12.3729