Exasens: a novel dataset for the classification of saliva samples of COPD patients

This repository introduces a novel dataset for the classification of Chronic Obstructive Pulmonary Disease (COPD) patients and Healthy Controls. The Exasens dataset includes demographic information on 4 groups of saliva samples (COPD-HC-Asthma-Infected) collected in the frame of a joint research project, Exasens (https://www.leibniz-healthtech.de/en/research/projects/bmbf-project-exasens/), at the Research Center Borstel, BioMaterialBank Nord (Borstel, Germany). The sampling procedure of the patient materials was approved by the local ethics committee of the University of Luebeck under the approval number AZ-16-167 and a written informed consent was obtained from all subjects. A permittivity biosensor, developed at IHP Microelectronics (Frankfurt Oder, Germany), was used for the dielectric characterization of the saliva samples for classification purposes (https://doi.org/10.3390/healthcare7010011).

本仓库引入了一种针对慢性阻塞性肺疾病（COPD）患者与健康对照人群进行分类的新型数据集。Exasens数据集包含了在联合研究项目Exasens（https://www.leibniz-healthtech.de/en/research/projects/bmbf-project-exasens/）框架下，于研究中心Borstel的生物材料银行北（德国Borstel）收集的4组唾液样本（COPD-HC-哮喘-感染）的人口统计学信息。患者材料的采样程序已获得吕贝克大学地方伦理委员会的批准，批准编号为AZ-16-167，并从所有受试者处获得了书面知情同意。在分类目的上，使用了由德国法兰克福-奥得河畔的IHP微电子公司（Frankfurt Oder, Germany）开发的介电生物传感器，对唾液样本进行介电特性表征（https://doi.org/10.3390/healthcare7010011）。