Machine learning to relate PM2.5 and PM10 concentrations to outpatient visits for upper respiratory tract infections in Taiwan: A nationwide analysis

doi:10.12998/wjcc.v6.i8.200

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 6, Issue 8

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 (8156)

All Articles published online

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

Item

Count

PDF

444

WORD

372

HTML

3236

Figures (1-2)

286

Tables (1-2)

301

Sum=4639

Featured Article

The chart showing Browse series, Download series.

Item

Count

Browse

663

Download

731

Sum=1394

Publishing Process of This Article

Item

Count

Browse

760

Download

1363

Sum=2123

Aug 16, 2018 (publication date) through Dec 25, 2024

Times Cited of This Article

Times Cited (25)

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. Aug 16, 2018; 6(8): 200-206
Published online Aug 16, 2018. doi: 10.12998/wjcc.v6.i8.200

Open in New Tab Full Size Figure Download Figure

Figure 1 Multilayer perceptron model for the proposed algorithm.

Open in New Tab Full Size Figure Download Figure

Figure 2 The average daily concentrations and weekly numbers of outpatient visits for upper respiratory tract infections in each month. A and B: PM2.5 and PM10, repectively (December 2008 - December 2016); C and D: The overall and the elderly patients, repsectively (January 2009 - December 2016). PM: Particulate matter.

Citation: Chen MJ, Yang PH, Hsieh MT, Yeh CH, Huang CH, Yang CM, Lin GM. Machine learning to relate PM2.5 and PM10 concentrations to outpatient visits for upper respiratory tract infections in Taiwan: A nationwide analysis. World J Clin Cases 2018; 6(8): 200-206
URL: https://www.wjgnet.com/2307-8960/full/v6/i8/200.htm
DOI: https://dx.doi.org/10.12998/wjcc.v6.i8.200