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首页> Mayo Clinic proceedings> Cost Effectiveness of an Electrocardiographic Deep Learning Algorithm to Detect Asymptomatic Left Ventricular Dysfunction.

Cost Effectiveness of an Electrocardiographic Deep Learning Algorithm to Detect Asymptomatic Left Ventricular Dysfunction.

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作者： Andrew S,Tseng ^[1] ; Viengneesee,Thao ^[2] ; Bijan J,Borah ^[3] ; Itzhak Zachi,Attia ^[1] ; Jose,Medina Inojosa ^[1] ; Suraj,Kapa ^[1] ; Rickey E,Carter ^[4] ; Paul A,Friedman ^[1] ; Francisco,Lopez-Jimenez ^[1] ; Xiaoxi,Yao ^[5] ; Peter A,Noseworthy ^[1]

作者单位： Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN. ^[1] Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN. ^[2] Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN; Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, MN. ^[3] Department of Health Sciences Research, Mayo Clinic, Jacksonville, FL. ^[4] Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN. ^[5]

主题词老年人(Aged);算法(Algorithms);人工智能(Artificial Intelligence);无症状疾病(Asymptomatic Diseases);费用效益分析(Cost-Benefit Analysis);心电描记术(Electrocardiography);女(雌)性(Female);人类(Humans);男(雄)性(Male);Markov链(Markov Chains);普查(Mass Screening);中年人(Middle Aged);质量校正寿命(Quality-Adjusted Life Years);心室功能障碍, 左(Ventricular Dysfunction, Left)

DOI 10.1016/j.mayocp.2020.11.032

PMID 34116837

发布时间 2021-07-22

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Mayo Clinic proceedings

Mayo Clinic proceedings

2021年96卷7期

1835-1844页

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