利用naïve贝叶斯分类器筛选代谢综合征发生风险的Nomogram

IF 0.5 Q4 STATISTICS & PROBABILITY Communications for Statistical Applications and Methods Pub Date : 2023-01-31 DOI:10.29220/csam.2023.30.1.021
M. Shin, Jea-Young Lee
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Nomogram for screening the risk of developing metabolic syndrome using naïve Bayesian classifier
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来源期刊
CiteScore
0.90
自引率
0.00%
发文量
49
期刊介绍: Communications for Statistical Applications and Methods (Commun. Stat. Appl. Methods, CSAM) is an official journal of the Korean Statistical Society and Korean International Statistical Society. It is an international and Open Access journal dedicated to publishing peer-reviewed, high quality and innovative statistical research. CSAM publishes articles on applied and methodological research in the areas of statistics and probability. It features rapid publication and broad coverage of statistical applications and methods. It welcomes papers on novel applications of statistical methodology in the areas including medicine (pharmaceutical, biotechnology, medical device), business, management, economics, ecology, education, computing, engineering, operational research, biology, sociology and earth science, but papers from other areas are also considered.
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