Cardiac Risk and Cardiac Risk Calculators

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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Joint Modeling of Social Determinants and Clinical Factors to Define Subphenotypes in Out-of-Hospital Cardiac Arrest Survival: Cluster Analysis

Ethan E Abbott, Wonsuk Oh, Yang Dai, Cole Feuer, Lili Chan, Brendan G Carr, Girish N Nadkarni

JMIR Aging 2023 (Dec 06); 6:e51844

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Development and Validation of Machine Learning–Based Models to Predict In-Hospital Mortality in Life-Threatening Ventricular Arrhythmias: Retrospective Cohort Study

Le Li, Ligang Ding, Zhuxin Zhang, Likun Zhou, Zhenhao Zhang, Yulong Xiong, Zhao Hu, Yan Yao

J Med Internet Res 2023 (Nov 15); 25:e47664

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Identification of Risk Groups for and Factors Affecting Metabolic Syndrome in South Korean Single-Person Households Using Latent Class Analysis and Machine Learning Techniques: Secondary Analysis Study

Ji-Soo Lee, Soo-Kyoung Lee

JMIR Form Res 2023 (Sep 12); 7:e42756

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