Machine-learning analysis of myocardial deformation patterns to predict incident heart failure or death in the general population

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Machine-learning analysis of myocardial deformation patterns to predict incident heart failure or death in the general population

Session: Digital health in clinical practice

Topic: Big Data and Digital Twin

Speaker: Mr S. Sanchez (Barcelona, ES)

Event: ESC Congress 2018

Congress Presentation

About the speaker

Mr Sergio Sanchez

Institute of Biomedical Research August Pi Sunyer (IDIBAPS), Barcelona (Spain)

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8 more presentations in this session

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Medication reminder apps to improve medication adherence in coronary heart disease patients (MedApp-CHD): a randomised clinical trial

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'Real world' m-Health technology supported home-based cardiac rehabilitation - Are we there yet?

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Digital health in clinical practice

Speakers: Mr S. Sanchez, Miss S. Werhahn, Mr K. Osman, Miss T. Proesmans, Doctor K. Santo...

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About the event

ESC Congress 2018

7 November - 29 August 2018

Sessions Presentations

Congress

Machine-learning analysis of myocardial deformation patterns to predict incident heart failure or death in the general population

About the speaker

Mr Sergio Sanchez

8 more presentations in this session

Validity of activity data collected by mobile Apple devices - Testing a new telemedical care concept for patients after hospitalization for heart failure.

Improved healthcare cost by reducing all unnecessary hospital admissions beyond 30-day readmissions: a new clinical model using interreality care for value-based paradigm

Post-ablation outcome monitoring using a pulse-deriving smartphone application

Medication reminder apps to improve medication adherence in coronary heart disease patients (MedApp-CHD): a randomised clinical trial

'Real world' m-Health technology supported home-based cardiac rehabilitation - Are we there yet?

Access the full session

Digital health in clinical practice

About the event

ESC Congress 2018

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