Jeffrey Ronald Flack

Evaluation For Artificial Intelligence-based Cac Scoring Model Efficiency And Accuracy

Anahita Tavoosi, Abdul Rahman Ihdayhid, Jeffrey Ronald Flack, Joanne K. Konstantopoulos et autres

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The relationship between body mass index and sleep in women with risk factors for gestational diabetes mellitus

Pamela Acosta Reyes, Jincy Immanuel, William M. Hague, Helena Jane Teede et autres

Background: Both obesity and sleep disorders are common among women during pregnancy. Although prior research has identified a relationship between obesity and sleep disorders, those findings are from women later in pregnancy. Objective: To explore the relationships between self-reported sleep duration, insufficient …

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Abstract 11971: Predicting Significant Cardiomyopathy in Coronary Artery Disease Through Application of Predictive Machine Learning (ML) Algorithms

Carter W English, Sairamvinay Vijayaraghavan, Jeffrey Ronald Flack, Prasant Mohapatra et autres

Introduction: Left ventricular ejection fraction (LVEF) of ≤ 40% in patients with coronary artery disease (CAD) is associated with an increased risk of sudden cardiac death. Accurately predicting LVEF at clinical follow-up can identify patients needing an implantable cardioverter-defibrillator device. Hypothesis: To …

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Abstract 11947: Evaluating Critical Values in Predicting Cardiomyopathy With Coronary Artery Disease Using Features Decided by Machine Learning Algorithms

Sairamvinay Vijayaraghavan, Carter W English, Jeffrey Ronald Flack, Prasant Mohapatra et autres

Introduction: Cardiomyopathy in coronary artery disease (CAD) is associated with increased mortality. Identification of strong predictors related to cardiomyopathy in coronary artery disease can assist in appropriate ICD candidacy. Hypothesis: Identify critical values for predictors of reduced left ventricular ejection fraction (LVEF …

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B-PO05-177 USING MACHINE LEARNING TO PREDICT CARDIOMYOPATHY IN PATIENTS WITH CORONARY ARTERY DISEASE

Sairamvinay Vijayaraghavan, Carter W. English, Jeffrey Ronald Flack, Shamili Allam et autres

Effect of High-Intensity Interval Training on Glycemic Control in Adults With Type 1 Diabetes and Overweight or Obesity: A Randomized Controlled Trial With Partial Crossover

Angela S. Lee, Nathan Anthony Johnson, Margaret J. McGill, Jane Overland et autres

OBJECTIVE To study the effect of 12 weeks of high-intensity interval training (HIIT) on glycemic control in adults with type 1 diabetes and overweight or obesity. RESEARCH DESIGN AND METHODS Thirty inactive adults with type 1 diabetes who had BMI ≥25 kg/m2 …

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Effect of high-intensity interval training on glycemic control in adults with type 1 diabetes with overweight or obesity: a randomized controlled trial with partial cross-over

Angela S. Lee, Nathan Anthony Johnson, Margaret J. McGill, Jane Overland et autres

Objective: To study the effect of 12 weeks of high-intensity interval training (HIIT) on glycemic control in adults with type 1 diabetes with overweight or obesity. Research Design and Methods: Thirty inactive adults with type 1 diabetes who had BMI≥25kg/m2 and HbA1c≥7.5% …

Effect of high-intensity interval training on glycemic control in adults with type 1 diabetes with overweight or obesity: a randomized controlled trial with partial cross-over

Angela S. Lee, Nathan Anthony Johnson, Margaret J. McGill, Jane Overland et autres

Objective: To study the effect of 12 weeks of high-intensity interval training (HIIT) on glycemic control in adults with type 1 diabetes with overweight or obesity. Research Design and Methods: Thirty inactive adults with type 1 diabetes who had BMI≥25kg/m2 and HbA1c≥7.5% …

Feasibility And Performance Of Fully Automated Coronary Artery Calcium Scoring Using Deep Machine Learning

Abdul Rahman Ihdayhid, Casey Lickfold, Jeffrey Ronald Flack, B. Adler et autres

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343 Feasibility and Performance of Fully Automated Coronary Artery Calcium Scoring Using Deep Machine Learning

Abdul Rahman Ihdayhid, Casey Lickfold, Jeffrey Ronald Flack, B. Adler et autres

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Age-related differences in glycaemic control, cardiovascular disease risk factors and treatment in patients with type 2 diabetes: a cross-sectional study from the Australian National Diabetes Audit

Natalie Nanayakkara, Sanjeeva Ranasinha, Adelle M. Gadowski, Wendy Angela Davis et autres

OBJECTIVE: To compare the glycaemic control and cardiovascular risk factor profiles of younger and older patients with type 2 diabetes. Cross-sectional analysis of data from the 2015 Australian National Diabetes Audit was undertaken. METHODS: Data were obtained from adults with type 2 …

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Effect of fenofibrate on uric acid and gout in type 2 diabetes: a post-hoc analysis of the randomised, controlled FIELD study

Boris Waldman, Jean-Claude Ansquer, DAVID R. SULLIVAN, Alicia Josephine Jenkins et autres

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