Cardiac Risk and Cardiac Risk Calculators

A Computable Phenotype Algorithm for Postvaccination Myocarditis/Pericarditis Detection Using Real-World Data: Validation Study

Matthew Deady, Raymond Duncan, Matthew Sonesen, Renier Estiandan, Kelly Stimpert, Sylvia Cho, Jeffrey Beers, Brian Goodness, Lance Daniel Jones, Richard Forshee, Steven A Anderson, Hussein Ezzeldin

J Med Internet Res 2024 (Nov 25); 26:e54597

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Using Machine Learning to Predict the Duration of Atrial Fibrillation: Model Development and Validation

Satoshi Shimoo, Keitaro Senoo, Taku Okawa, Kohei Kawai, Masahiro Makino, Jun Munakata, Nobunari Tomura, Hibiki Iwakoshi, Tetsuro Nishimura, Hirokazu Shiraishi, Keiji Inoue, Satoaki Matoba

JMIR Med Inform 2024 (Nov 22); 12:e63795

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Associations Among Cardiometabolic Risk Factors, Sleep Duration, and Obstructive Sleep Apnea in a Southeastern US Rural Community: Cross-Sectional Analysis From the SLUMBRx-PONS Study

Adam P Knowlden, Lee J Winchester, Hayley V MacDonald, James D Geyer, John C Higginbotham

JMIR Form Res 2024 (Nov 08); 8:e54792

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Comparison of Auscultation Quality Using Contemporary Digital Stethoscopes

Norah Saraya, Jonathon McBride, Karandeep Singh, Omar Sohail, Porag Jeet Das

JMIR Cardio 2024 (Nov 08); 8:e54746

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Machine Learning–Based Prediction for Incident Hypertension Based on Regular Health Checkup Data: Derivation and Validation in 2 Independent Nationwide Cohorts in South Korea and Japan

Seung Ha Hwang, Hayeon Lee, Jun Hyuk Lee, Myeongcheol Lee, Ai Koyanagi, Lee Smith, Sang Youl Rhee, Dong Keon Yon, Jinseok Lee

J Med Internet Res 2024 (Nov 05); 26:e52794

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Predictive Models for Sustained, Uncontrolled Hypertension and Hypertensive Crisis Based on Electronic Health Record Data: Algorithm Development and Validation

Hieu Minh Nguyen, William Anderson, Shih-Hsiung Chou, Andrew McWilliams, Jing Zhao, Nicholas Pajewski, Yhenneko Taylor

JMIR Med Inform 2024 (Oct 28); 12:e58732

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Gender Bias in AI's Perception of Cardiovascular Risk

Margaux Achtari, Adil Salihu, Olivier Muller, Emmanuel Abbé, Carole Clair, Joëlle Schwarz, Stephane Fournier

J Med Internet Res 2024 (Oct 22); 26:e54242

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Dynamics of Blood Lipids Before, During, and After Diurnal Fasting in Inactive Men: Quasi-Experimental Study

Khalid Aljaloud, Naif Al-Barha, Abeer Noman, Abdulaziz Aldayel, Yahya Alsharif, Ghareeb Alshuwaier

Interact J Med Res 2024 (Oct 17); 13:e56207

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The Role of Visualization in Estimating Cardiovascular Disease Risk: Scoping Review

Adrijana Svenšek, Mateja Lorber, Lucija Gosak, Katrien Verbert, Zalika Klemenc-Ketis, Gregor Stiglic

JMIR Public Health Surveill 2024 (Oct 14); 10:e60128

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The Influence of Physical Activity and Diet Mobile Apps on Cardiovascular Disease Risk Factors: Meta-Review

Erica Bushey, Yin Wu, Alexander Wright, Linda Pescatello

J Med Internet Res 2024 (Oct 09); 26:e51321

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Changes in 10-Year Predicted Cardiovascular Disease Risk for a Multiethnic Semirural Population in South East Asia: Prospective Study

Hamimatunnisa Johar, Chiew Way Ang, Roshidi Ismail, Zaid Kassim, Tin Tin Su

JMIR Public Health Surveill 2024 (Sep 26); 10:e55261

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Social Determinants of Health Phenotypes and Cardiometabolic Condition Prevalence Among Patients in a Large Academic Health System: Latent Class Analysis

Carrie R Howell, Li Zhang, Olivio J Clay, Gareth Dutton, Trudi Horton, Michael J Mugavero, Andrea L Cherrington

JMIR Public Health Surveill 2024 (Aug 07); 10:e53371

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Assessing Patient Trust in Automation in Health Care Systems: Within-Subjects Experimental Study

Matthew Nare, Katherina Jurewicz

JMIR Hum Factors 2024 (Aug 06); 11:e48584

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A Machine Learning Model for Predicting In-Hospital Mortality in Chinese Patients With ST-Segment Elevation Myocardial Infarction: Findings From the China Myocardial Infarction Registry

Jingang Yang, Yingxue Li, Xiang Li, Shuiying Tao, Yuan Zhang, Tiange Chen, Guotong Xie, Haiyan Xu, Xiaojin Gao, Yuejin Yang

J Med Internet Res 2024 (Jul 30); 26:e50067

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Development and Validation of an Explainable Machine Learning Model for Predicting Myocardial Injury After Noncardiac Surgery in Two Centers in China: Retrospective Study

Chang Liu, Kai Zhang, Xiaodong Yang, Bingbing Meng, Jingsheng Lou, Yanhong Liu, Jiangbei Cao, Kexuan Liu, Weidong Mi, Hao Li

JMIR Aging 2024 (Jul 26); 7:e54872

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Performance Drift in Machine Learning Models for Cardiac Surgery Risk Prediction: Retrospective Analysis

Tim Dong, Shubhra Sinha, Ben Zhai, Daniel Fudulu, Jeremy Chan, Pradeep Narayan, Andy Judge, Massimo Caputo, Arnaldo Dimagli, Umberto Benedetto, Gianni D Angelini

JMIRx Med 2024 (Jun 12); 5:e45973

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Development and Validation of an Explainable Deep Learning Model to Predict In-Hospital Mortality for Patients With Acute Myocardial Infarction: Algorithm Development and Validation Study

Puguang Xie, Hao Wang, Jun Xiao, Fan Xu, Jingyang Liu, Zihang Chen, Weijie Zhao, Siyu Hou, Dongdong Wu, Yu Ma, Jingjing Xiao

J Med Internet Res 2024 (May 10); 26:e49848

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Assessing Global, Regional, and National Time Trends and Associated Risk Factors of the Mortality in Ischemic Heart Disease Through Global Burden of Disease 2019 Study: Population-Based Study

Tingting Shu, Ming Tang, Bo He, Xiaozhu Liu, Yu Han, Chang Liu, Pedro A Jose, Hongyong Wang, Qing-Wei Zhang, Chunyu Zeng

JMIR Public Health Surveill 2024 (Jan 24); 10:e46821

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Association Between the Composite Cardiovascular Risk and mHealth Use Among Adults in the 2017-2020 Health Information National Trends Survey: Cross-Sectional Study

Yuling Chen, Ruth-Alma Turkson-Ocran, Binu Koirala, Patricia M Davidson, Yvonne Commodore-Mensah, Cheryl Dennison Himmelfarb

J Med Internet Res 2024 (Jan 04); 26:e46277

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