文章基本信息

标题：Patients’ Admissions in Intensive Care Units: A Clustering Overview
本地全文：下载
作者：Ana Ribeiro ; Filipe Portela ; Manuel Santos 等
期刊名称：Information
电子版ISSN：2078-2489
出版年度：2017
卷号：8
期号：1
页码：23-34
DOI：10.3390/info8010023
出版社：MDPI Publishing
摘要：Intensive care is a critical area of medicine having a multidisciplinary nature requiring all types of healthcare professionals. Given the critical environment of intensive care units (ICUs), the need to use information technologies, like decision support systems, to improve healthcare services and ICU management is evident. It is proven that unplanned and prolonged admission to the ICU is not only prejudicial to a patient's health, but also such a situation implies a readjustment of ICU resources, including beds, doctors, nurses, financial resources, among others. By discovering the common characteristics of the admitted patients, it is possible to improve these outcomes. In this study clustering techniques were applied to data collected from admitted patients in an intensive care unit. The best results presented a silhouette of 1, with a distance to centroids of 6.2 × 10−17 and a Davies–Bouldin index of −0.652.
关键词：data mining; decision support systems; clustering; intensive care; admissions; INTCare system data mining ; decision support systems ; clustering ; intensive care ; admissions ; INTCare system