哮喘诊断与监测呼气分析NO传感器数据集

Name: 哮喘诊断与监测呼气分析NO传感器数据集
Creator: 千方医数集科研发现管道
License: CC BY-NC 4.0

80例呼气样本，通过NO气体传感器结合模式识别和SVM算法实现哮喘诊断与严重程度监测。

Figshare

2025-06-05 更新

表格theoretical adsorption modelssupport vector machinestrong linear relationshipreceiver operating characteristicpca )attributedsix breath samplesfabricated using agdiscriminate 10 ppbclinical evaluation methodstrong correlation (<key breath biomarkersresponse values exhibited

Clinically Diagnose Asthma and Monitor Its Severity Using an Ultrasensitive Chemiresistive Nitric Oxide (NO) Gas Sensor via Exhaled Breath Analysis Assisted by Pattern Recognition

基本信息

模态

表格

大小

0.000014874 GB

许可

CC BY-NC 4.0

创建/更新时间

2025-06-05

版本

资源简介

哮喘诊断与监测呼气分析NO传感器数据集

【数据集背景】

本数据集源站标题为《Clinically Diagnose

Asthma and Monitor Its Severity

Using an Ultrasensitive Chemiresistive Nitric Oxide (NO) Gas Sensor

via Exhaled Breath Analysis Assisted by Pattern Recognition》。配套论文《Clinically Diagnose Asthma and Monitor Its Severity Using an Ultrasensitive Chemiresistive Nitric Oxide (NO) Gas Sensor via Exhaled Breath Analysis Assisted by Pattern Recognition》发表于 ACS Sensors（2025），DOI：10.1021/acssensors.5c00772。源站首次发布：2025-06-05。

【数据内容】

源站原始描述：Fractional exhaled nitric oxide (FeNO) is widely recognized as a reliable biomarker for asthma. FeNO sensors can help diagnose asthma and monitor its severity. In this study, an ultrasensitive chemiresistive gas sensor, sensitive to the key breath biomarkers of asthmanitric oxide (NO) and H2Swas fabricated using Ag-decorated ZnO. The sensor exhibits detection limits of 5 ppb for NO and 50 ppb for H2S, and it can discriminate 10 ppb NO and 60 ppb H2S from the exhaled breaths. Clinically, a tota…

【数据结构与技术规格】

文件数 1 个，合计 14.87 KB。se5c00772_si_004.xlsx：application/vnd.openxmlformats-officedocument.spreadsheetml.sheet，14.87 KB。数据集 DOI：10.1021/acssensors.5c00772.s004。

【主题与分类】

源站学科分类：Space Science、Medicine、Genetics、Molecular Biology、Neuroscience、Chemical Sciences not elsewhere classified。主题标签：theoretical adsorption models、support vector machine、strong linear relationship、receiver operating characteristic、pca ), attributed、six breath samples、fabricated using ag、discriminate 10 ppb、clinical evaluation method、strong correlation (<。

【适用方向】

结构化表格数据可直接用于统计建模、特征工程与队列分析。

【获取与许可】

源站页面：https://acs.figshare.com/articles/dataset/Clinically_Diagnose_Asthma_and_Monitor_Its_Severity_Using_an_Ultrasensitive_Chemiresistive_Nitric_Oxide_NO_Gas_Sensor_via_Exhaled_Breath_Analysis_Assisted_by_Pattern_Recognition/29250773

使用许可：CC BY-NC 4.0（https://creativecommons.org/licenses/by-nc/4.0/）。

规范引用：Yin, Peisi; You, Xiaoyu; Cui, Xinyue; Tang, Zhipeng; Yu, Shanshan; Fu, Huaian; et al. (2025). Clinically Diagnose Asthma and Monitor Its Severity Using an Ultrasensitive Chemiresistive Nitric Oxide (NO) Gas Sensor via Exhaled Breath Analysis Assisted by Pattern Recognition. ACS Publications. Dataset

原始链接

https://figshare.com/articles/dataset/Clinically_Diagnose_Asthma_and_Monitor_Its_Severity_Using_an_Ultrasensitive_Chemiresistive_Nitric_Oxide_NO_Gas_Sensor_via_Exhaled_Breath_Analysis_Assisted_by_Pattern_Recognition/29250773

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