A comprehensive health classification model based on support vector machine for proseal laryngeal mask and tracheal catheter assessment in herniorrhaphy

DOI10.3934/MBE.2020097zbMath1470.92138OpenAlexW2994673763WikidataQ90792651 ScholiaQ90792651MaRDI QIDQ2045829

Yajiao Huang, Liuyue Huang, Zhenshuang Du, Zhiyao Chen, Hefan He, Qingfu Hu, Ziping Zhang, Qingmao Wang, Mingxia Qiu, Qingwei Yang, Qionghua Lin

Publication date: 13 August 2021

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2020097

zbMATH Keywords

data mining information entropy support vector machine comprehensive classification model index classification weight

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Experimental work for problems pertaining to biology (92-05)

Cites Work

Support-vector networks

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