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A computer system for interpreting blood glucose data.

机译:用于解释血糖数据的计算机系统。

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摘要

This paper presents an overview on the design and implementation of a computer system for the interpretation of home monitoring data of diabetic patients. The comprehensive methodology covers the major information processing steps leading from raw data to a concise summary of what has happened between two subsequent visits. It includes techniques for summarising and interpreting data, checking for inconsistency, identifying and diagnosing metabolic problems and learning from patient data. Data interpretation focuses on extracting trend patterns and classifying/clustering daily blood glucose (BG) profiles. The software helps clinicians to explore data recorded before the main meals and bedtime, and to identify problems in the patient's metabolic control which should be addressed either by educating the patient and/or adjusting the current management regimen.
机译:本文概述了用于解释糖尿病患者家庭监护数据的计算机系统的设计和实现。全面的方法论涵盖了从原始数据到两个后续访问之间发生的情况的简要摘要的主要信息处理步骤。它包括汇总和解释数据,检查不一致之处,识别和诊断代谢问题以及从患者数据中学习的技术。数据解释着重于提取趋势模式和分类/聚类每日血糖(BG)配置文件。该软件可帮助临床医生探索在主餐和就寝前记录的数据,并确定患者的代谢控制问题,这些问题应通过教育患者和/或调整当前的治疗方案来解决。

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