Increase Trichomonas vaginalis detection based on urine routine analysis through a machine learning approach-Reference-Cited by-同舟云学术

Increase Trichomonas vaginalis detection based on urine routine analysis through a machine learning approach

Published:2019-08-19 Issue:1 Volume:9 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Wang Hsin-Yao,Hung Chung-Chih,Chen Chun-Hsien,Lee Tzong-Yi,Huang Kai-Yao,Ning Hsiao-Chen,Lai Nan-Chang,Tsai Ming-Hsiu,Lu Li-Chuan,Tseng Yi-Ju^ORCID,Lu Jang-Jih

Funder

Chang Gung Medical Foundation

Ministry of Science and Technology, Taiwan

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/s41598-019-47361-8.pdf

Reference55 articles.

1. Meites, E. et al. A Review of Evidence-Based Care of Symptomatic Trichomoniasis and Asymptomatic Trichomonas vaginalis Infections. Clinical Infectious Diseases 61, S837–S848, https://doi.org/10.1093/cid/civ738 (2015).

2. Bouchemal, K., Bories, C. & Loiseau, P. M. Strategies for Prevention and Treatment of Trichomonas vaginalis Infections. Clinical Microbiology Reviews 30, 811–825, https://doi.org/10.1128/cmr.00109-16 (2017).

3. Chang, P.-C. et al. A pilot study on Trichomonas vaginalis in women with recurrent urinary tract infections. Biomedical Journal 39, 289–294, https://doi.org/10.1016/j.bj.2015.11.005 (2016).

4. Centers for Disease Control and Prevention. Trichomoniasis - CDC Fact Sheet, https://www.cdc.gov/std/trichomonas/stdfact-trichomoniasis.htm (2017).

5. Ryan, C. M., de Miguel, N. & Johnson, P. J. Trichomonas vaginalis: current understanding of host-parasite interactions. Essays in biochemistry 51, 161–175, https://doi.org/10.1042/bse0510161 (2011).

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