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

Trichomonas vaginalis (T. vaginalis) detection remains an unsolved problem in using of automated instruments for urinalysis. The study proposes a machine learning (ML)-based strategy to increase the detection rate of T. vaginalis in urine. On the basis of urinalysis data from a teaching hospital dur...

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Detalles Bibliográficos
Autores principales: 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, Lu, Jang-Jih
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6698480/
https://www.ncbi.nlm.nih.gov/pubmed/31423009
http://dx.doi.org/10.1038/s41598-019-47361-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6698480/
https://www.ncbi.nlm.nih.gov/pubmed/31423009
http://dx.doi.org/10.1038/s41598-019-47361-8

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