Predicting intensive care unit-acquired weakness: A multilayer perceptron neural network approach

doi:10.12998/wjcc.v12.i12.2023

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 12, Issue 12

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 (1875)

All Articles published online

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

Item

Count

PDF

HTML

894

Figures (1-1)

161

Tables (1-2)

173

Sum=1265

Featured Article

The chart showing Browse series, Download series.

Item

Count

Browse

134

Download

205

Sum=339

Publishing Process of This Article

Item

Count

Browse

Download

173

Sum=216

Apr 26, 2024 (publication date) through Nov 25, 2024

Times Cited of This Article

Times Cited (0)

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

Editorial

World J Clin Cases. Apr 26, 2024; 12(12): 2023-2030
Published online Apr 26, 2024. doi: 10.12998/wjcc.v12.i12.2023

Full Size Figure Download Figure

Figure 1 Training and validating the multilayer perception model for predicting intensive care unit-acquired weakness. AUC-ROC: Area under the receiver operating characteristic curve.

Citation: Ardila CM, González-Arroyave D, Zuluaga-Gómez M. Predicting intensive care unit-acquired weakness: A multilayer perceptron neural network approach. World J Clin Cases 2024; 12(12): 2023-2030
URL: https://www.wjgnet.com/2307-8960/full/v12/i12/2023.htm
DOI: https://dx.doi.org/10.12998/wjcc.v12.i12.2023