Final ID: Mo3084
CardioTech Unleashed: Advances in Cardiovascular Diagnosis and Management
Monday, 11/18/2024 , 01:30PM - 02:30PM
Abstract Poster Session
Han Jonghyeuk, Kong Dasom, Schwarz Erica, Takaesu Felipe, Humphrey Jay, Park Hyun-ji, Davis Michael E
A Machine Learning-Derived Socio-Environmental Risk Score More Accurately Predicts Cardiovascular Events and Better Addresses Health Inequities than Social Deprivation IndexChen Zhuo, Nasir Khurram, Al-kindi Sadeer, Rajagopalan Sanjay, Ponnana Sai Rahul, Dazard Jean-eudes, Zhang Tong, Dong Weichuan, Okyere Robert, Sirasapalli Santosh, Deo Salil, Khraishah Haitham
Rathore Azeem, Shaikh Safia, Nassar Sameh, Upreti Prakash, Basit Jawad, Bolaji Olayiwola, Alraies M Chadi
Machine Learning for QT Measurement and Antiarrhythmic Drug Recommendations in Long QT Mobile Electrocardiogram DatasetCorsi Douglas, Higgins John, Bolaji Olayiwola, Manohar Ram, Rathore Azeem, Pallod Aditi, Patel Kunj, Navara Rachita, Paudel Bishow, Mchugh Walker, Sinha Anika, Deleon Rania, Asfaha Dina Medhanie, Okoroanyanwu Sheila, Kumar Raj