Coronary Heart Disease

Applications of Ballistocardiogram in the Diagnosis of Coronary Heart Disease: Systematic Review

Mairihaba Maimaiti, Hongling Zhu, Hesong Zeng

JMIR Cardio 2025 (Aug 08); 9:e68197

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Machine Learning–Based Analysis of Lifestyle Risk Factors for Atherosclerotic Cardiovascular Disease: Retrospective Case-Control Study

Hye-Jin Kim, Heeji Choi, Hyo-Jung Ahn, Seung-Ho Shin, Chulho Kim, Sang-Hwa Lee, Jong-Hee Sohn, Jae-Jun Lee

JMIR Med Inform 2025 (Aug 07); 13:e74415

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Comparing the Performance of Machine Learning Models and Conventional Risk Scores for Predicting Major Adverse Cardiovascular Cerebrovascular Events After Percutaneous Coronary Intervention in Patients With Acute Myocardial Infarction: Systematic Review and Meta-Analysis

Min-Young Yu, Hae Young Yoo, Ga In Han, Eun-Jung Kim, Youn-Jung Son

J Med Internet Res 2025 (Jul 18); 27:e76215

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Prediction of Percutaneous Coronary Intervention Success in Patients With Moderate to Severe Coronary Artery Calcification Using Machine Learning Based on Coronary Angiography: Prospective Cohort Study

Zixiang Ye, Zhangyu Lin, Enmin Xie, Chenxi Song, Rui Zhang, Hao-Yu Wang, Shanshan Shi, Lei Feng, Kefei Dou

J Med Internet Res 2025 (Jul 11); 27:e70943

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Machine Learning for the Prediction of Acute Kidney Injury in Critically Ill Patients With Coronary Heart Disease: Algorithm Development and Validation

Yike Li, Mingyang Xiao, Yaqian Li, Lulu Lv, Shanshan Zhang, Yuhui Liu, Juan Zhang

JMIR Med Inform 2025 (May 28); 13:e72349

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Coronary Computed Tomographic Angiography to Optimize the Diagnostic Yield of Invasive Angiography for Low-Risk Patients Screened With Artificial Intelligence: Protocol for the CarDIA-AI Randomized Controlled Trial

Jeremy Petch, Juan Pablo Tabja Bortesi, Tej Sheth, Madhu Natarajan, Natalia Pinilla-Echeverri, Shuang Di, Shrikant I Bangdiwala, Karen Mosleh, Omar Ibrahim, Kevin R Bainey, Julian Dobranowski, Maria P Becerra, Katie Sonier, Jon-David Schwalm

JMIR Res Protoc 2025 (May 21); 14:e71726

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Web-Based Nursing Intervention to Promote Physical Activity Among Older Adults After Coronary Revascularization: Protocol for Mixed Method Pilot Study

Audrey Lavoie, Véronique Dubé

JMIR Res Protoc 2025 (May 21); 14:e67678

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Machine Learning Model for Predicting Coronary Heart Disease Risk: Development and Validation Using Insights From a Japanese Population–Based Study

Thien Vu, Yoshihiro Kokubo, Mai Inoue, Masaki Yamamoto, Attayeb Mohsen, Agustin Martin-Morales, Research Dawadi, Takao Inoue, Jie Ting Tay, Mari Yoshizaki, Naoki Watanabe, Yuki Kuriya, Chisa Matsumoto, Ahmed Arafa, Yoko M Nakao, Yuka Kato, Masayuki Teramoto, Michihiro Araki

JMIR Cardio 2025 (May 12); 9:e68066

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Co-Occurring Diseases and Mortality in Patients With Chronic Heart Disease, Modeling Their Dynamically Expanding Disease Portfolios: Nationwide Register Study

Nikolaj Normann Holm, Anne Frølich, Helena Dominguez, Kim Peder Dalhoff, Helle Gybel Juul-Larsen, Ove Andersen, Anders Stockmarr

JMIR Cardio 2025 (Apr 25); 9:e57749

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Pharmacist-Initiated Team-Based Intervention for Optimizing Guideline-Directed Lipid Therapy of Hospitalized Patients With Acute Coronary Syndrome: Pilot Study Using a Stepped-Wedge Cluster Design

Gayle L Flo, Mateo Alzate Aguirre, Benjamin R Gochanour, Kristin J Hynes, Christopher G Scott, Angela L Fink, Adelaide M Arruda-Olson

JMIR Cardio 2025 (Mar 28); 9:e58837

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Authors’ Reply: The SCeiP Model for Remote Rehabilitation in Homebound Patients With Coronary Heart Disease

Xinyue Zhang

J Med Internet Res 2025 (Mar 28); 27:e70247

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The SCeiP Model for Remote Rehabilitation in Homebound Patients With Coronary Heart Disease

Siqi Zhang, Tielong Chen

J Med Internet Res 2025 (Mar 28); 27:e69927

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Exploring Heart Disease–Related mHealth Apps in India: Systematic Search in App Stores and Metadata Analysis

Keerthi Dubbala, Roshan Prizak, Ingrid Metzler, Giovanni Rubeis

J Med Internet Res 2025 (Mar 10); 27:e53823

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Machine Learning Models With Prognostic Implications for Predicting Gastrointestinal Bleeding After Coronary Artery Bypass Grafting and Guiding Personalized Medicine: Multicenter Cohort Study

Jiale Dong, Zhechuan Jin, Chengxiang Li, Jian Yang, Yi Jiang, Zeqian Li, Cheng Chen, Bo Zhang, Zhaofei Ye, Yang Hu, Jianguo Ma, Ping Li, Yulin Li, Dongjin Wang, Zhili Ji

J Med Internet Res 2025 (Mar 06); 27:e68509

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Daily Treatment Monitoring for Patients Receiving Home-Based Peritoneal Dialysis and Prediction of Heart Failure Risk: mHealth Tool Development and Modeling Study

Jia Wu, Youjia Zeng, Jun Yang, Yutong Yao, Xiuling Xu, Gaofeng Song, Wuyong Yi, Taifen Wang, Yihou Zheng, Zhongwei Jia, Xiangyu Yan

JMIR Form Res 2025 (Mar 03); 9:e56254

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Establishing Syndromic Surveillance of Acute Coronary Syndrome, Myocardial Infarction, and Stroke: Registry Study Based on Routine Data From German Emergency Departments

Madlen Schranz, Mirjam Rupprecht, Annette Aigner, Leo Benning, Carmen Schlump, Nesrine Charfeddine, Michaela Diercke, Linus Grabenhenrich, Alexander Ullrich, Hannelore Neuhauser, Birga Maier, AKTIN Research Group, Felix Patricius Hans, Sabine Blaschke

JMIR Public Health Surveill 2025 (Feb 25); 11:e66218

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Predicting Atrial Fibrillation Relapse Using Bayesian Networks: Explainable AI Approach

João Miguel Alves, Daniel Matos, Tiago Martins, Diogo Cavaco, Pedro Carmo, Pedro Galvão, Francisco Moscoso Costa, Francisco Morgado, António Miguel Ferreira, Pedro Freitas, Cláudia Camila Dias, Pedro Pereira Rodrigues, Pedro Adragão

JMIR Cardio 2025 (Feb 11); 9:e59380

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Prevalence and Economic Impact of Acute Respiratory Failure in the Prehospital Emergency Medical Service of the Madrid Community: Retrospective Cohort Study

Ana María Cintora-Sanz, Cristina Horrillo-García, Víctor Quesada-Cubo, Ana María Pérez-Alonso, Alicia Gutiérrez-Misis

JMIR Public Health Surveill 2025 (Jan 16); 11:e66179

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Development and Validation of a Predictive Model Based on Serum Silent Information Regulator 6 Levels in Chinese Older Adult Patients: Cross-Sectional Descriptive Study

Yuzi You, Wei Liang, Yajie Zhao

JMIR Aging 2025 (Jan 15); 8:e64374

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The Role of Clinician-Developed Applications in Promoting Adherence to Evidence-Based Guidelines: Pilot Study

Madhu Prita Prakash, Aravinda Thiagalingam

JMIR Cardio 2024 (Dec 31); 8:e55958

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