Cardiac Risk and Cardiac Risk Calculators

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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A Web-Based Application for Risk Stratification and Optimization in Patients With Cardiovascular Disease: Pilot Study

Avinash Pandey, Marie Michelle D'Souza, Amritanshu Shekhar Pandey, Hassan Mir

JMIR Cardio 2023 (Aug 03); 7:e46533

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The Impact and Perception of England’s Web-Based Heart Age Test of Cardiovascular Disease Risk: Mixed Methods Study

Victoria Riley, Christopher Gidlow, Sophia Fedorowicz, Catherine Lagord, Katherine Thompson, Joshua Woolner, Rosie Taylor, Jade Clark, Andrew Lloyd-Harris

JMIR Cardio 2023 (Feb 06); 7:e39097

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When Heart Beats Differently in Depression: Review of Nonlinear Heart Rate Variability Measures

Milena Čukić, Danka Savić, Julia Sidorova

JMIR Ment Health 2023 (Jan 17); 10:e40342

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The Impact of Time Horizon on Classification Accuracy: Application of Machine Learning to Prediction of Incident Coronary Heart Disease

Steven Simon, Divneet Mandair, Abdel Albakri, Alison Fohner, Noah Simon, Leslie Lange, Mary Biggs, Kenneth Mukamal, Bruce Psaty, Michael Rosenberg

JMIR Cardio 2022 (Nov 02); 6(2):e38040

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Home Telemonitoring and a Diagnostic Algorithm in the Management of Heart Failure in the Netherlands: Cost-effectiveness Analysis

Fernando Albuquerque de Almeida, Isaac Corro Ramos, Maiwenn Al, Maureen Rutten-van Mölken

JMIR Cardio 2022 (Aug 04); 6(2):e31302

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Risk Prediction of Major Adverse Cardiovascular Events Occurrence Within 6 Months After Coronary Revascularization: Machine Learning Study

Jinwan Wang, Shuai Wang, Mark Xuefang Zhu, Tao Yang, Qingfeng Yin, Ya Hou

JMIR Med Inform 2022 (Apr 20); 10(4):e33395

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Authors’ Reply to: Using Caution When Interpreting Gender-Based Relative Risk. Comment on “The Effect of Cardiovascular Comorbidities on Women Compared to Men: Longitudinal Retrospective Analysis”

Elma Dervic, Carola Deischinger, Nina Haug, Michael Leutner, Alexandra Kautzky-Willer, Peter Klimek

JMIR Cardio 2022 (Mar 25); 6(1):e36801

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Using Caution When Interpreting Gender-Based Relative Risk. Comment on “The Effect of Cardiovascular Comorbidities on Women Compared to Men: Longitudinal Retrospective Analysis”

Imre Janszky

JMIR Cardio 2022 (Mar 25); 6(1):e34647

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Web-Based Tool (FH Family Share) to Increase Uptake of Cascade Testing for Familial Hypercholesterolemia: Development and Evaluation

Hana Bangash, Ahmed Makkawy, Justin H Gundelach, Alexandra A Miller, Kimberly A Jacobson, Iftikhar J Kullo

JMIR Hum Factors 2022 (Feb 15); 9(1):e32568

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Investigating Genetic and Other Determinants of First-Onset Myocardial Infarction in Malaysia: Protocol for the Malaysian Acute Vascular Events Risk Study

Rajiv Chowdhury, Mohd Fairulnizal Md Noh, Sophia Rasheeqa Ismail, Kim Robin van Daalen, Puteri Sofia Nadira Megat Kamaruddin, Siti Hafizah Zulkiply, Nur Hayati Azizul, Norhayati Mustafa Khalid, Azizan Ali, Izyan Mohd Idris, Yong Shih Mei, Shazana Rifham Abdullah, Norfashihah Faridus, Nur Azirah Md Yusof, Nur Najwa Farahin M Yusoff, Rahman Jamal, Aizai Azan Abdul Rahim, Abdul Kahar Abdul Ghapar, Ammu Kutty Radhakrishnan, Alan Yean Yip Fong, Omar Ismail, Saravanan Krishinan, Chuey Yan Lee, Liew Houng Bang, Eashwary Mageswaren, Kauthaman Mahendran, Nor Hanim Mohd Amin, Gunavathy Muthusamy, Aaron Ong Hean Jin, Ahmad Wazi Ramli, Noel Thomas Ross, Anwar Irawan Ruhani, Mansor Yahya, Yusniza Yusoff, Siti Khairani Zainal Abidin, Laryssa Amado, Thomas Bolton, Sophie Weston, Jason Crawte, Niko Ovenden, Ank Michielsen, Md Mostafa Monower, Wan Rozita Wan Mahiyuddin, Angela Wood, Emanuele Di Angelantonio, Nur Suffia Sulaiman, John Danesh, Adam S Butterworth

JMIR Res Protoc 2022 (Feb 10); 11(2):e31885

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Machine Learning for Cardiovascular Outcomes From Wearable Data: Systematic Review From a Technology Readiness Level Point of View

Arman Naseri Jahfari, David Tax, Marcel Reinders, Ivo van der Bilt

JMIR Med Inform 2022 (Jan 19); 10(1):e29434

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Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review

Asma Alamgir, Osama Mousa, Zubair Shah

JMIR Med Inform 2021 (Dec 17); 9(12):e30798

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