Qiaobin Chen on Muck Rack

Qiaobin Chen

As seen in: Nature, Frontiers, Royal Society of Chemistry
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Articles

Identification of clinical phenotypes and prediction model for the mixed-infection phenotype of pediatric community-acquired pneumonia based on unsupervised machine learning

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By Meng Xiao, Ying Jiang, Qiaobin Chen, Yongxi Deng, Hongbiao Huang, Qiong Fang, Xiaoting Lin, Lijun Xiong
| Frontiers
Abstract Objective: Pediatric community-acquired pneumonia (CAP) exhibits significant clinical heterogeneity. Traditional microbiological classification overlooks host factors, making it challenging to accurately determine prognosis and provide targeted, precise treatment.
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An interpretable machine learning model for early risk stratification of medium-to-giant coronary artery aneurysm in Kawasaki disease: development and external validation

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By Ying He, Jinfeng Dong, Fan Lin, Jiaying Zhang, Xin Zheng, Qiaobin Chen, Jing Li, Shurong Ma, Lizhi Li, Hongbiao Huang
| Nature Verified
Abstract Medium-to-giant coronary artery aneurysm (MGCAA) represents the most severe complication of Kawasaki disease (KD) and remains difficult to identify early. Existing risk scores are not tailored for MGCAA and lack external validation. Interpretable machine learning (ML) approaches may improve early risk stratification. We retrospectively analyzed 443 patients from Fuzhou (development cohort) and 2,334 from Suzhou (external validation).
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All-in-one type fluorescent emitters achieving detections of volatile organic compound, water in organic solvent and anion, and their data protection applications

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By Jianglan Wu, Lihua Xu, Chencheng Li, Qiaobin Chen
| Royal Society of Chemistry Verified
All-in-one type fluorescent emitters achieving detections of volatile organic compound, water in organic solvent and anion, and their data protection applications Jianglan Wu, Chencheng Li, Qiaobin Chen, Lihua Xu, Maoyang Jian and Jiang Zhao Abstract Multifunctional emitters with excellent fluorescence were highly desirable.
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