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Increase Trichomonas vaginalis detection based on urine routine analysis through a machine learning approach
Hsin Yao Wang
, Chung Chih Hung
, Chun Hsien Chen
, Tzong Yi Lee
, Kai Yao Huang
, Hsiao Chen Ning
, Nan Chang Lai
, Ming Hsiu Tsai
, Li Chuan Lu
, Yi Ju Tseng
, Jang Jih Lu
資訊管理學系
研究成果
:
雜誌貢獻
›
期刊論文
›
同行評審
11
引文 斯高帕斯(Scopus)
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深入研究「Increase Trichomonas vaginalis detection based on urine routine analysis through a machine learning approach」主題。共同形成了獨特的指紋。
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Keyphrases
Machine Learning Approach
100%
Routine Analysis
100%
Trichomonas Vaginalis
100%
Urinalysis
66%
Microscopic Examination
33%
Detection Rate
33%
Trichomonas Vaginalis Infection
33%
Prediction Model
16%
Logistic Regression
16%
Area under the Receiver Operating Characteristic Curve
16%
High Risk
16%
Proposed Strategy
16%
Random Forest
16%
Machine Learning Based
16%
Teaching Hospital
16%
Meta-learning Strategy
16%
Automated Instrument
16%
Regression Support Vector Machine
16%
Incremental Cost-effectiveness Ratio
16%
Medicine and Dentistry
Trichomonas vaginalis
100%
Urinalysis
66%
Trichomoniasis
33%
Health Care Cost
16%
Logistic Regression Analysis
16%
Cost-Effectiveness Analysis
16%
Agricultural and Biological Sciences
Trichomonas vaginalis
100%
Urinalysis
50%
Support Vector Machine
12%
Pharmacology, Toxicology and Pharmaceutical Science
Trichomonas vaginalis
100%
Trichomoniasis
33%
Immunology and Microbiology
Trichomonas vaginalis
100%
Random Forest
12%
Support Vector Machine
12%
Biochemistry, Genetics and Molecular Biology
Trichomonas vaginalis
100%
Support Vector Machine
12%
Random Forest
12%