Coronary Heart Disease

Articles published in 2020 in this theme: 9 (scroll down to load remaining articles)

2020

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A Smartphone App for Patients With Acute Coronary Syndrome (MoTER-ACS): User-Centered Design Approach

Nazli Bashi, Marlien Varnfield, Mohanraj Karunanithi

JMIR Form Res 2020 (Dec 18); 4(12):e17542

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Implementation of Telerehabilitation Interventions for the Self-Management of Cardiovascular Disease: Systematic Review

Narayan Subedi, Jonathan C Rawstorn, Lan Gao, Harriet Koorts, Ralph Maddison

JMIR Mhealth Uhealth 2020 (Nov 27); 8(11):e17957

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Telomerase Activation to Reverse Immunosenescence in Elderly Patients With Acute Coronary Syndrome: Protocol for a Randomized Pilot Trial

Rebecca Maier, Bilal Bawamia, Karim Bennaceur, Sarah Dunn, Leanne Marsay, Roland Amoah, Adetayo Kasim, Andrew Filby, David Austin, Helen Hancock, Ioakim Spyridopoulos

JMIR Res Protoc 2020 (Sep 23); 9(9):e19456

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Google Trends Insights Into Reduced Acute Coronary Syndrome Admissions During the COVID-19 Pandemic: Infodemiology Study

Conor Senecal, Rajiv Gulati, Amir Lerman

JMIR Cardio 2020 (Aug 24); 4(1):e20426

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Psychometric Properties of the Norwegian Version of the Electronic Health Literacy Scale (eHEALS) Among Patients After Percutaneous Coronary Intervention: Cross-Sectional Validation Study

Gunhild Brørs, Tore Wentzel-Larsen, Håvard Dalen, Tina B Hansen, Cameron D Norman, Astrid Wahl, Tone M Norekvål, The CONCARD Investigators

J Med Internet Res 2020 (Jul 28); 22(7):e17312

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Accurate Prediction of Coronary Heart Disease for Patients With Hypertension From Electronic Health Records With Big Data and Machine-Learning Methods: Model Development and Performance Evaluation

Zhenzhen Du, Yujie Yang, Jing Zheng, Qi Li, Denan Lin, Ye Li, Jianping Fan, Wen Cheng, Xie-Hui Chen, Yunpeng Cai

JMIR Med Inform 2020 (Jul 06); 8(7):e17257

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A Mobile Health Intervention System for Women With Coronary Heart Disease: Usability Study

Avijit Sengupta, Theresa Beckie, Kaushik Dutta, Arup Dey, Sriram Chellappan

JMIR Form Res 2020 (Jun 03); 4(6):e16420

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Minimal Patient Clinical Variables to Accurately Predict Stress Echocardiography Outcome: Validation Study Using Machine Learning Techniques

Mohamed Bennasar, Duncan Banks, Blaine A Price, Attila Kardos

JMIR Cardio 2020 (May 29); 4(1):e16975

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Usability of Wearable Devices to Remotely Monitor Sleep Patterns Among Patients With Ischemic Heart Disease: Observational Study

Michael Fortunato, Srinath Adusumalli, Neel Chokshi, Joseph Harrison, Charles Rareshide, Mitesh Patel

JMIR Form Res 2020 (Apr 07); 4(4):e14508

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