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).

本数据集仓库介绍了一款用于慢性阻塞性肺疾病（Chronic Obstructive Pulmonary Disease，COPD）患者与健康对照者分类的新型数据集。Exasens数据集包含4组唾液样本（分为COPD患者、健康对照、哮喘患者、感染者四类）的人口统计学信息，该数据集由德国博斯泰尔研究中心北方生物样本库（BioMaterialBank Nord, Borstel, Germany）在联合研究项目Exasens的框架下采集，项目详情可访问：https://www.leibniz-healthtech.de/en/research/projects/bmbf-project-exasens/。本次患者样本的采集流程已获得吕贝克大学地方伦理委员会批准，批准编号为AZ-16-167，且所有受试者均签署了书面知情同意书。本研究采用德国法兰克福奥德的IHP微电子（IHP Microelectronics, Frankfurt Oder, Germany）研发的介电常数生物传感器，对唾液样本进行介电特性表征以完成分类任务，相关研究可参见：https://doi.org/10.3390/healthcare7010011。