Data for: An analysis of Ambulatory Blood Pressure Monitoring (ABPM).
收藏资源简介：
The Ambulatory Blood Pressure Monitoring (ABPM) dataset is a new multi-label database with 40 ABPM features for 270 numeric patient records categorized into one or more out of 6 labels. It is released to the public, in order to allow comparative experiments by other researchers and especially medical researchers while the publicly available multi-label medical datasets are very rare. The ABPM is the record of the Blood Pressure for a duration of 24 hours, the interpretation of such data gives a relevant information about the general health status of the patient, for that the indication of this type of examination is increasing nowadays. Unfortunately in the literature, there are just a few theoretical works interested to analyze the generated data; this is probably due to their complexity or the difficulties of understanding their medical context or the lack of the data for the test, the proposed dataset aims to resolve this problem by making available to researchers a data annotated by an expert in the field.
动态血压监测（Ambulatory Blood Pressure Monitoring，ABPM）数据集是一款新型多标签数据库，涵盖270条数值化患者记录，每条记录包含40项ABPM特征，可被归类为6个预设标签中的一个或多个。该数据集面向公众开源发布，旨在为其他研究人员，尤其是医学研究人员提供开展对照实验的资源——当前公开可获取的多标签医学数据集仍十分稀缺。ABPM是对患者血压进行24小时持续监测的记录，对这类数据进行解读能够获取与患者整体健康状况相关的关键信息，因此此类检查的临床适应证近年来呈上升趋势。遗憾的是，现有医学文献中仅存少量针对此类监测数据开展分析的理论研究，这一现状可能源于数据本身的复杂性、其医学背景理解门槛较高，或是可用测试数据匮乏。本数据集旨在通过向研究人员开放由本领域专家标注的数据，解决上述现存问题。
