about
A distributed query execution engine of big attributed graphs.Predicting diabetes mellitus using SMOTE and ensemble machine learning approach: The Henry Ford ExercIse Testing (FIT) project.Cardiorespiratory fitness and incident heart failure: The Henry Ford ExercIse Testing (FIT) Project.Higher Fitness Is Strongly Protective in Patients with Family History of Heart Disease: The FIT Project.Using Machine Learning to Define the Association between Cardiorespiratory Fitness and All-Cause Mortality (from the Henry Ford Exercise Testing Project).Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project.Using machine learning on cardiorespiratory fitness data for predicting hypertension: The Henry Ford ExercIse Testing (FIT) Project.The impact of digoxin on mortality in patients with chronic systolic heart failure: A propensity-matched cohort studyOn the interpretability of machine learning-based model for predicting hypertension
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description
researcher ORCID ID = 0000-0002-2503-523X
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wetenschapper
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Sherif Sakr
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Sherif Sakr
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Sherif Sakr
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Sherif Sakr
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Sherif Sakr
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Sherif Sakr
@en
Sherif Sakr
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Sherif Sakr
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Sherif Sakr
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Sherif Sakr
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Sherif Sakr
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Sherif Sakr
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0000-0002-2503-523X