ISU ReD: Research and eData - Annual Symposium on Biomathematics and Ecology Education and Research: A Study of the Efficacy of Machine Learning for Diagnosing Obstructive Coronary Artery Disease in Non-Diabetic Patients

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Disease Modeling - Oral Presentations

Presentation Title

A Study of the Efficacy of Machine Learning for Diagnosing Obstructive Coronary Artery Disease in Non-Diabetic Patients

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Participant Information

Demond HandleyFollow

Type of Presentation

Oral Presentation

Location

Disease Modeling

A Study of the Efficacy of Machine Learning for Diagnosing Obstru.pdf (93 kB)

COinS

A Study of the Efficacy of Machine Learning for Diagnosing Obstructive Coronary Artery Disease in Non-Diabetic Patients

Disease Modeling