ESC 365 - Predicting incident heart failure in patients with type ii diabetes: a machine a learning approach

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Predicting incident heart failure in patients with type ii diabetes: a machine a learning approach

Session: ePosters in e-cardiology/digital health 2

Topic: Hospital Information Systems, Electronic Medical Records, Clinical Decision Support

Speaker: Miss N. Kaur (Glasgow, GB)

Event: Heart Failure 2023

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Miss Narinder Kaur

University of Glasgow, Glasgow (United Kingdom of Great Britain & Northern Ireland)

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4 more presentations in this session

Budget impact of a personalized follow up in a heart failure unit based on a new model of risk stratification.

Speaker: Mr P. Pajaro Merino (Huelva, ES)

Clinical benefits of a personalized follow up in a Heart failure unit based on a new model of risk stratification

Speaker: Mr F. Caro Fernandez (Huelva, ES)

Remote monitoring of congestive heart failure patients in Finland: an economic analysis of the real-world hospital cost-savings.

Speaker: Doctor S. Vaisanen (Espoo, FI)

Ontario marginalization index analysis of patients with heart failure enrolled in Medly, a remote patient management program

Speaker: Doctor M. Worme (London, GB)

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ePosters in e-cardiology/digital health 2

Speakers: Miss N. Kaur, Mr P. Pajaro Merino, Mr F. Caro Fernandez, Doctor S. Vaisanen, Doctor M. Worme

About the event

Heart Failure 2023

20 May - 23 May 2023

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