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BS72 : Accuracy of machine learning techniques to predict stress echocardiography results using clinical variables.

Researchers

Presenter

  • Ugochukwu Ihekwaba

Principal Investigators

  • Mohamed Bennasar

  • Nicholas Johnson

  • Blaine Price

  • Jason Oke

  • Jeffery Khoo

  • Iain Squire

  • Attila Kardos

Medical Centers

  • Milton Keynes University Hospital NHS Trust, Translational Cardiovascular Research Group, Standing way Milton keynes, BKM MK LD United Kingdom, UK

  • Glenfield Hospital, Department of Cardiovascular Sciences, Cardiovascular Research Centre,, Leiceste

  • The Open University, School of computing and comms, Milton Keynes, United Kingdom of Great Britain &

  • University of Oxford, Nuffield Department of Primary Care Health Sciences, Radcliffe Primary Care Bu

Locations

  • United Kingdom

  • United States

Companies

  • N/A

Study Components

Therapeutic Area

  • Endocrine/metabolic Diseases (ME)

  • Central Nervous System (CNS)

  • Genetic Disorder

  • Nephrology

  • Cardiovascular (CVS)

Disease

  • Chronic kidney disease

  • Hypercholesterolemia, Familial, 1

  • Arrhythmia

  • Renal disease

  • Hypertension

  • Diabetes

  • Coronary Artery Disease

  • Stroke

Biomarkers

  • N/A

Drug/Treatment

  • N/A

Outcome

  • N/A

Study Design

  • N/A

Phase

  • NA

Study Id's

  • N/A

Sponsors

  • N/A

Result

  • Final

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