内型
鼻息肉
医学
慢性鼻-鼻窦炎
生物标志物
鼻科学
疾病
鼻窦炎
美波利祖马布
嗜酸性
生物标志物发现
精密医学
哮喘
内科学
病理
免疫学
嗜酸性粒细胞
外科
耳鼻咽喉科
蛋白质组学
化学
基因
生物化学
作者
Tsuguhisa Nakayama,Shinichi Haruna
标识
DOI:10.1080/1744666x.2023.2200164
摘要
Endotypes in CRS have still being established, and biomarkers capable of identifying endotypes of CRS are not yet clear. When identifying endotype-based biomarkers, it is necessary to first identify endotypes clarified by cluster analysis for outcomes. With the application of machine learning, the idea of predicting outcomes using a combination of multiple integrated biomarkers, rather than a single biomarker, will become mainstream.
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