Showing Results from 1 to 12 of 269.
09 : 40 AM
3D Statistical Shape Analysis Predicts Type A Aortic Dissection Better Than Aortic Diameters
Marway Prabhvir, Campello Jorge Carlos Alberto, Wagner Catherine, Baker Timothy, Burris Nicholas
Final Pr. ID: MDP1501
Authors: Marway Prabhvir , Campello Jorge Carlos Alberto , Wagner Catherine , Baker Timothy , Burris Nicholas
Keywords: Aorta, Aortic Dissection, Imaging, Machine Learning, Prognosis
02 : 30 PM
A Comprehensive Study on Machine Learning Models Combining with Oversampling for One-year Persistent Coronary Artery Aneurysm in Kawasaki Disease
Liang Kaizhi, Pang Yusheng, Su Danyan
Final Pr. ID: Sa3032
Authors: Liang Kaizhi , Pang Yusheng , Su Danyan
Keywords: Kawasaki disease (Mucocutaneous Lymph Node Syndrome), Coronary artery disease, Pediatric cardiology, Prognostic model, Machine Learning
03 : 30 PM
A Cross-scale Causal Machine Learning Framework Pinpoints Mgl2+ Macrophage Orchestrators of Balanced Arterial Growth
Han Jonghyeuk, Kong Dasom, Schwarz Erica, Takaesu Felipe, Humphrey Jay, Park Hyun-ji, Davis Michael E
Final Pr. ID: 4364135
Authors: Han Jonghyeuk , Kong Dasom , Schwarz Erica , Takaesu Felipe , Humphrey Jay , Park Hyun-ji , Davis Michael E
Keywords: Arteriogenesis, Pulmonary artery, Artificial Intelligence, Machine Learning, Systems biology
03 : 57 PM
A Machine Learning Algorithm to Detect Pediatric Supraventricular Tachycardia Risk from Baseline ECGs
Arezoumand Amirhossein, Danala Gopichandh, Masnadi Khiabani Parisa, Ebert David, Behere Shashank
Final Pr. ID: MP743
Authors: Arezoumand Amirhossein , Danala Gopichandh , Masnadi Khiabani Parisa , Ebert David , Behere Shashank
Keywords: Supraventricular tachycardia, Pediatric cardiology, Artificial Intelligence, Machine Learning, Arrhythmias
06 : 00 PM
A machine learning approach to classifying ischemic stroke etiology using variables available in the Get-with-the-Guidelines Stroke Registry
Lee Ho-joon, Schwamm Lee, Turner Ashby, De Havenon Adam, Kamel Hooman, Brandt Cynthia, Zhao Hongyu, Krumholz Harlan, Sharma Richa
Final Pr. ID: WMP49
Authors: Lee Ho-joon , Schwamm Lee , Turner Ashby , De Havenon Adam , Kamel Hooman , Brandt Cynthia , Zhao Hongyu , Krumholz Harlan , Sharma Richa
Keywords: Epidemiology, Quality improvement, Ischemic stroke, Machine Learning
10 : 30 AM
A Machine Learning Approach to Simplify Risk Stratification of Patients with Atherosclerotic Cardiovascular Disease
Li Hsin Fang, Gluckman Ty, Nute Andrew, Weerasinghe Roshanthi, Wendt Staci, Wilson Eleni, Sidelnikov Eduard, Kathe Niranjan, Swihart Charissa, Jones Laney
Final Pr. ID: Sa3113
Authors: Li Hsin Fang , Gluckman Ty , Nute Andrew , Weerasinghe Roshanthi , Wendt Staci , Wilson Eleni , Sidelnikov Eduard , Kathe Niranjan , Swihart Charissa , Jones Laney
Keywords: Arteriosclerosis, Cardiovascular disease, Machine Learning
09 : 15 AM
A Machine Learning-Derived Socio-Environmental Risk Score More Accurately Predicts Cardiovascular Events and Better Addresses Health Inequities than Social Deprivation Index
Chen 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
Final Pr. ID: MP2170
Authors: Chen 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
Keywords: Machine Learning, Race, Calcium, Cardiovascular Risk, Residential environment
09 : 00 AM
A machine learning model for individualized risk prediction of ischemic heart disease in people with hypertension in Thailand
Sakboonyarat Boonsub, Poovieng Jaturon, Rangsin Ram
Final Pr. ID: FR526
Authors: Sakboonyarat Boonsub , Poovieng Jaturon , Rangsin Ram
Keywords: Ischemic heart disease, Hypertension, Machine Learning, Prediction model, Risk Factors
Bailey Angela, Wang Wei, Shannon Clarence, Huling Jared, Tignanelli Christopher
Final Pr. ID: Su3069
Authors: Bailey Angela , Wang Wei , Shannon Clarence , Huling Jared , Tignanelli Christopher
Keywords: Machine Learning, Gender differences, Risk Factors, Myocardial infarction, Prediction model
07 : 00 PM
A Multi-Tier, Natural-Language Processing Framework to Automate Labeling of Acute Cerebrovascular Events From Radiology Reports and Diagnosis Codes
Erekat Asala, Stein Laura, Delman Bradley, Karp Adam, Kupersmith Mark, Kummer Benjamin
Final Pr. ID: WP207
Authors: Erekat Asala , Stein Laura , Delman Bradley , Karp Adam , Kupersmith Mark , Kummer Benjamin
Keywords: Natural language processing, Neuroendovascular (for stroke), Machine Learning
11 : 30 AM
A Novel Classification of Heart Failure Derived from the Nationwide JROADHF Cohort Using Unsupervised Machine Learning
Kyodo Atsushi, Tsutsui Hiroyuki, Hikoso Shungo, Nakada Yasuki, Nogi Kazutaka, Ishihara Satomi, Ueda Tomoya, Tohyama Takeshi, Enzan Nobuyuki, Matsushima Shouji, Ide Tomomi
Final Pr. ID: Su3110
Authors: Kyodo Atsushi , Tsutsui Hiroyuki , Hikoso Shungo , Nakada Yasuki , Nogi Kazutaka , Ishihara Satomi , Ueda Tomoya , Tohyama Takeshi , Enzan Nobuyuki , Matsushima Shouji , Ide Tomomi
Keywords: Acute heart failure, Machine Learning
04 : 00 PM
A Novel EMR-Based Algorithm with the Virtual Echocardiography Screening Tool (VEST) to Screen Patients for Pulmonary Arterial Hypertension
Narowska Gabriela, Anand Suneesh, Gangireddy Chethan, Enevoldsen John, Keane Martin, Edmundowicz Daniel, Forfia Paul, Vaidya Anjali
Final Pr. ID: 4144283
Authors: Narowska Gabriela , Anand Suneesh , Gangireddy Chethan , Enevoldsen John , Keane Martin , Edmundowicz Daniel , Forfia Paul , Vaidya Anjali
Keywords: Artificial Intelligence, Machine Learning, Echocardiography, Pulmonary hypertension