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A machine learning approach predicts response to physical exercise training using pulse wave analysis

3 April 2025 (16:30 - 17:15)
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Congress Presentation Part of: Artificial intelligence and machine learning in risk prediction, prevention and care Exercise Programmes EAPC Premium Access ESC Preventive Cardiology 2025 European Association of Preventive Cardiology (EAPC)

About the speaker

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Professor Boris Schmitz

Clinic Koenigsfeld, Ennepetal (Germany)

6 More presentations in this session

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Comparison of ECG-based neural networks for predicting atrial fibrillation across subgroups in the population
Mr B. Holderied (Greifswald, DE)
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Defining two dimensional transthoracic echocardiographic aorta dimension reference ranges in healthy subjects: a machine learning based model
Doctor A. Carbone (Naples, IT)
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Developing a personalized communication model using data-driven personas and clusters to enhance FH pediatric screening
Ms B. Cucos (Bucharest, RO)
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Evaluating the feasibility of the AI-powered Calcount smart diet smartphone application among healthcare workers in a pilot study
Ms K. Kuliesiute (Vilnius, LT)
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Development of the CARE-DM model to predict the risk of cardiovascular disease in older adults with type 2 diabetes
Ms V. Aponte Ribero (Bern, CH)
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Artificial intelligence and machine learning in risk prediction, prevention and care

The Event

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ESC Preventive Cardiology 2025

3 April 2025 16:30 CET
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