Design of a Digital Twin of the Heart for the Management of Heart Failure Patients

Andrea Scotto*, Noemi Giordano, Samanta Rosati, Gabriella Balestra

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

Heart failure poses a significant global health burden with high prevalence and mortality rates. A promising possibility in this context is the constant monitoring of the patients through telemedicine. The aim of this work is to present a digital twin of a patient at risk of heart failure. Applying machine learning to the recorded data of the patient, the system is able to early detect potential issues and improve the outcome.

Original languageEnglish
Title of host publicationDigital Health and Informatics Innovations for Sustainable Health Care Systems - Proceedings of MIE 2024
EditorsJohn Mantas, Arie Hasman, George Demiris, Kaija Saranto, Michael Marschollek, Theodoros N. Arvanitis, Ivana Ognjanovic, Arriel Benis, Parisis Gallos, Emmanouil Zoulias, Elisavet Andrikopoulou
Number of pages2
PublisherIOS Press
Publication date22 Aug 2024
Pages875-876
ISBN (Electronic)9781643685335
DOIs
Publication statusPublished - 22 Aug 2024
Event34th Medical Informatics Europe Conference, MIE 2024 - Athens, Greece
Duration: 25 Aug 202429 Aug 2024

Conference

Conference34th Medical Informatics Europe Conference, MIE 2024
Country/TerritoryGreece
CityAthens
Period25/08/202429/08/2024
SponsorDedalus, Elsevier, JMIR, Trust-IT
SeriesStudies in Health Technology and Informatics
Volume316
ISSN0926-9630

Bibliographical note

Publisher Copyright:
© 2024 The Authors.

Keywords

  • Digital Twin
  • heart failure
  • personalized medicine
  • telemedicine

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