Dynamical phenotyping: using temporal analysis of clinically collected physiologic data to stratify populations.
Dynamical phenotyping: using temporal analysis of clinically collected physiologic data to stratify populations.
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DOI：
10.1371/journal.pone.0096443
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发表时间：
2014
期刊：
影响因子：
3.7
通讯作者：
Hripcsak G
中科院分区：
文献类型：
--
作者：
Albers DJ;Elhadad N;Tabak E;Perotte A;Hripcsak G
使用从电子健康记录（EHR）存储库中提取的测量良好的人群的葡萄糖时间序列数据，使用机械内分泌模型以及书面患者记录的手动和自动审查来解释由时间延迟互信息（TDEG）量化的葡萄糖值的可预测性的变化。结果表明，葡萄糖的可预测性随健康状态而变化，其中关系（例如，线性或反向）取决于敏锐度的来源。结果发现，在参数变化的精细尺度上，处理葡萄糖所需的胰岛素越少，与良好健康相关的条件，葡萄糖值越可预测。然而，对EHR亚群的可预测性影响最大的是健康状态是否存在变化，特别是控制和失控葡萄糖与控制葡萄糖。这两个结果在临床和科学上都是相关的，因为葡萄糖的大小是最常用的健康指标，而不是葡萄糖动力学，从而提供了机械内分泌模型和通过临床收集的数据直接洞察人类健康之间的联系。
Using glucose time series data from a well measured population drawn from an electronic health record (EHR) repository, the variation in predictability of glucose values quantified by the time-delayed mutual information (TDMI) was explained using a mechanistic endocrine model and manual and automated review of written patient records. The results suggest that predictability of glucose varies with health state where the relationship (e.g., linear or inverse) depends on the source of the acuity. It was found that on a fine scale in parameter variation, the less insulin required to process glucose, a condition that correlates with good health, the more predictable glucose values were. Nevertheless, the most powerful effect on predictability in the EHR subpopulation was the presence or absence of variation in health state, specifically, in- and out-of-control glucose versus in-control glucose. Both of these results are clinically and scientifically relevant because the magnitude of glucose is the most commonly used indicator of health as opposed to glucose dynamics, thus providing for a connection between a mechanistic endocrine model and direct insight to human health via clinically collected data.
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影响因子：
5.4
作者：
Fabietti, Pier Giorgio;Canonico, Valentina;Massi-Benedetti, Massimo
通讯作者：
Massi-Benedetti, Massimo
DOI：
10.1081/bio-120020169
发表时间：
2003-01-01
期刊：
ARTIFICIAL CELLS BLOOD SUBSTITUTES AND BIOTECHNOLOGY
影响因子：
--
作者：
Brunetti, P;Federici, MO;Benedetti, MM
通讯作者：
Benedetti, MM
影响因子：
4.5
作者：
Bodenreider, O;McCray, AT
通讯作者：
McCray, AT
DOI：
10.1136/amiajnl-2011-000463
发表时间：
2011-12-01
影响因子：
6.4
作者：
Hripcsak, George;Albers, David J.;Perotte, Adler
通讯作者：
Perotte, Adler
影响因子：
2.9
作者：
Albers, D. J.;Hripcsak, George
通讯作者：
Hripcsak, George