American Heart Association
Heath Tech/Big Data/Machine Learning/AI + Mobile Health Tech and Wearables
Moderated Poster Session
Back Bay Ballroom/Republic Ballroom
Mar 17th , 05:00 PM - 07:00 PM
05 : 00 PM
Utilization of Long-Term Ambulatory Continuous Electrocardiographic Monitoring Has Increased between 2009 and 2022 in the United States
Luo Shengyuan, Minhas Anum, Fang Michael, Zeger Scott, Chen Lin Yee, Selvin Elizabeth, Shin Jung-im
Final Pr. ID: MPTU01
Authors: Luo Shengyuan, Minhas Anum, Fang Michael, Zeger Scott, Chen Lin Yee, Selvin Elizabeth, Shin Jung-im
Keywords: Electrocardiography , Mobile health
05 : 00 PM
Wearable Data Sharing Preferences for Research Purposes Among U.S. Adults: From Attribute Development to Interactive Dashboard for Research Study Design Optimization
Song Shanshan, Ogungbe Bunmi
Final Pr. ID: MPTU02
Authors: Song Shanshan, Ogungbe Bunmi
Keywords: Wearables , mHealth , Research , Disparities , Equity
05 : 00 PM
A “numerical autopsy” of out-of-hospital cardiac arrest: reclassifying unknown etiologies from five years of nationwide health data
Cezard Pierre, Laurenceau Thomas, Meli Ugo, Lebled Julien, Menant Emma, Chocron Richard, Jouven Xavier
Final Pr. ID: MPTU03
Authors: Cezard Pierre, Laurenceau Thomas, Meli Ugo, Lebled Julien, Menant Emma, Chocron Richard, Jouven Xavier
Keywords: Artificial Intelligence , Cardiac arrest , Epidemiology
05 : 00 PM
Sex- and Disease-Stratified Performance of Federated Learning for Multi-Label Cardiovascular Disease Detection: A Real-World ECG Analysis
Bouras Andrew, Thaker Vishrut, Chetla Nitin, Samayamanthula Sai, Mouawad Celine, Huang Jingwen
Final Pr. ID: MPTU04
Authors: Bouras Andrew, Thaker Vishrut, Chetla Nitin, Samayamanthula Sai, Mouawad Celine, Huang Jingwen
Keywords: Cardiovascular disease , Machine Learning , Electrocardiography , Data standards , Deep learning
05 : 00 PM
Explainable Stroke Risk Prediction Using Machine Learning and Large Language Models: Toward a Mobile-Enabled Clinical Decision Support Application
Gupta Isheeta, Thaker Vishrut, Pandey Saugat, Yepuri Harita, Bita Ongolo Pierre Manuel, Jaiswal Vikash
Final Pr. ID: MPTU05
Authors: Gupta Isheeta, Thaker Vishrut, Pandey Saugat, Yepuri Harita, Bita Ongolo Pierre Manuel, Jaiswal Vikash
Keywords: Machine Learning , Stroke , Artificial Intelligence , Brain , Computational modeling
05 : 00 PM
Prediction of cardiovascular diseases using statistical and machine learning approaches: The Strong Heart Study
Islam Mohammad Anwarul, Pan Steven, Rogers Paul, Ali Tauqeer, Cole Shelley, Fretts Amanda, Reese Jessica, Umans Jason, Zhang Ying
Final Pr. ID: MPTU06
Authors: Islam Mohammad Anwarul, Pan Steven, Rogers Paul, Ali Tauqeer, Cole Shelley, Fretts Amanda, Reese Jessica, Umans Jason, Zhang Ying
Keywords: Machine Learning , Deep learning , Cardiovascular disease , Coronary heart disease , Stroke
05 : 00 PM
A “numerical autopsy” of out-of-hospital cardiac arrest: reclassifying unknown etiologies from five years of nationwide health data
Cezard Pierre, Laurenceau Thomas, Meli Ugo, Lebled Julien, Menant Emma, Chocron Richard, Jouven Xavier
Final Pr. ID: MPTU03
Authors: Cezard Pierre, Laurenceau Thomas, Meli Ugo, Lebled Julien, Menant Emma, Chocron Richard, Jouven Xavier
Keywords: Artificial Intelligence , Cardiac arrest , Epidemiology
05 : 00 PM
Explainable Stroke Risk Prediction Using Machine Learning and Large Language Models: Toward a Mobile-Enabled Clinical Decision Support Application
Gupta Isheeta, Thaker Vishrut, Pandey Saugat, Yepuri Harita, Bita Ongolo Pierre Manuel, Jaiswal Vikash
Final Pr. ID: MPTU05
Authors: Gupta Isheeta, Thaker Vishrut, Pandey Saugat, Yepuri Harita, Bita Ongolo Pierre Manuel, Jaiswal Vikash
Keywords: Machine Learning , Stroke , Artificial Intelligence , Brain , Computational modeling
05 : 00 PM
Prediction of cardiovascular diseases using statistical and machine learning approaches: The Strong Heart Study
Islam Mohammad Anwarul, Pan Steven, Rogers Paul, Ali Tauqeer, Cole Shelley, Fretts Amanda, Reese Jessica, Umans Jason, Zhang Ying
Final Pr. ID: MPTU06
Authors: Islam Mohammad Anwarul, Pan Steven, Rogers Paul, Ali Tauqeer, Cole Shelley, Fretts Amanda, Reese Jessica, Umans Jason, Zhang Ying
Keywords: Machine Learning , Deep learning , Cardiovascular disease , Coronary heart disease , Stroke
05 : 00 PM
Sex- and Disease-Stratified Performance of Federated Learning for Multi-Label Cardiovascular Disease Detection: A Real-World ECG Analysis
Bouras Andrew, Thaker Vishrut, Chetla Nitin, Samayamanthula Sai, Mouawad Celine, Huang Jingwen
Final Pr. ID: MPTU04
Authors: Bouras Andrew, Thaker Vishrut, Chetla Nitin, Samayamanthula Sai, Mouawad Celine, Huang Jingwen
Keywords: Cardiovascular disease , Machine Learning , Electrocardiography , Data standards , Deep learning
05 : 00 PM
Utilization of Long-Term Ambulatory Continuous Electrocardiographic Monitoring Has Increased between 2009 and 2022 in the United States
Luo Shengyuan, Minhas Anum, Fang Michael, Zeger Scott, Chen Lin Yee, Selvin Elizabeth, Shin Jung-im
Final Pr. ID: MPTU01
Authors: Luo Shengyuan, Minhas Anum, Fang Michael, Zeger Scott, Chen Lin Yee, Selvin Elizabeth, Shin Jung-im
Keywords: Electrocardiography , Mobile health
05 : 00 PM
Wearable Data Sharing Preferences for Research Purposes Among U.S. Adults: From Attribute Development to Interactive Dashboard for Research Study Design Optimization
Song Shanshan, Ogungbe Bunmi
Final Pr. ID: MPTU02
Authors: Song Shanshan, Ogungbe Bunmi
Keywords: Wearables , mHealth , Research , Disparities , Equity