Decision Support System Detecting Patients at Risk of Prolonged QT and Associated Mortality

被引：0

作者：

Caraballo, Pedro J. ^{[1
,2
]}

Bos, Johan M. ^{[3
]}

Qian, Ray ^{[1
]}

Fischer, Karen M. ^{[2
]}

Johnsen, Paul J. ^{[4
]}

Schreie, Diana J. ^{[5
]}

Simon, Gyorgy ^{[6
]}

Ackerman, Michael J. ^{[5
]}

机构：

[1] Mayo Clin, Dept Med, Rochester, MN 55905 USA

[2] Mayo Clin, Dept Quantitat Hlth Sci, Rochester, MN 55905 USA

[3] Mayo Clin, Dept Cardiol, Rochester, MN USA

[4] Mayo Clin, Dept Informat Technol, Rochester, MN USA

[5] Mayo Clin, Dept Pharm, Rochester, MN USA

[6] Univ Minnesota, Inst Hlth Informat, Minneapolis, MN USA

来源：

MEDINFO 2023 - THE FUTURE IS ACCESSIBLE | 2024年 / 310卷

关键词：

Decision support; prolonged QT; mortality; survival analysis;

D O I：

10.3233/SHTI231203

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Prolonged QT interval is an independent risk factor for all-cause mortality. However, evaluation of mortality associated to the implementation of a clinical decision support system to increase awareness and provide management recommendations has been challenging. Here we present our attempt to develop a model using only electronic data and different control groups.

引用

页码：1378 / 1379

页数：2

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