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

Session: Artificial intelligence and machine learning in risk prediction, prevention and care
Topic: Exercise Programmes
Speaker: Doctor B. Schmitz (Ennepetal, DE)
Event: ESC Preventive Cardiology 2025

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Doctor Boris Schmitz

Clinic Koenigsfeld, Ennepetal (Germany)
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6 more presentations in this session

Comparison of ECG-based neural networks for predicting atrial fibrillation across subgroups in the population

Speaker: 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

Speaker: 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

Speaker: 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

Speaker: 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

Speaker: Ms V. Aponte Ribero (Bern, CH)

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Access the full session

Artificial intelligence and machine learning in risk prediction, prevention and care

Speakers: Doctor B. Schmitz, Mr B. Holderied, Doctor A. Carbone, Ms B. Cucos, Ms K. Kuliesiute...
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About the event

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ESC Preventive Cardiology 2025

3 April - 5 April 2025

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