Development of a Hybrid Machine Learning Model for - Rennes, France - LTSI - UMR INSERM 1099

LTSI - UMR INSERM 1099
LTSI - UMR INSERM 1099
Entreprise vérifiée
Rennes, France

il y a 3 semaines

Sophie Dupont

Posté par:

Sophie Dupont

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Description

Development of a hybrid machine learning model for predicting response to cardiac resynchronization therapy:

  • Réf
    ABG-123925
  • Sujet de Thèse 16/05/2024
  • Financement public/privé


  • LTSI

  • UMR INSERM 1099
  • Lieu de travail
  • Rennes
  • Bretagne
  • France
  • Intitulé du sujet
  • Development of a hybrid machine learning model for predicting response to cardiac resynchronization therapy
  • Champs scientifiques
  • Numérique
  • Santé, médecine humaine, vétérinaire
  • Science de la donnée (stockage, sécurité, mesure, analyse)


  • Mots clés

  • Machine learning, Modelization, Signal processing, Biomedical engineering
    Description du sujet:

Subject
This thesis work is part of the EXPERT project, funded by the French National Research Agency (ANR).

The project aims at providing a Decision Support System (DSS) to predict patient response to CRT, in order to help the clinician taking the decision to implant the patient.


The DSS will be developed using explainable artificial intelligence methods, integrating machine learning and physiological computational models (patient digital twin) to: 1) combine physiological knowledge and clinical data; 2) improve model interpretability; and 3) minimize overfitting.

The models will primarily be based on myocardial deformation analysis, measured by echocardiography (speckle-tracking).


Location / Start date / Duration
Rennes, Campus de Beaulieu / October 2024 / 36 months


Prise de fonction:


  • 01/10/2024
    Nature du financement:
  • Financement public/privé

Précisions sur le financement:

  • PhD Thesis funder by the ANR Expert project
    Présentation établissement et labo d'accueil:


  • LTSI

  • UMR INSERM 1099
The LTSI (Signal and Image Processing Laboratory) is a research laboratory at the University of Rennes and INSERM, at the interface of information science and health technologies.


Site web:


Intitulé du doctorat:


  • PhD in Signal, Image, Vision
    Pays d'obtention du doctorat:
  • France

Etablissement délivrant le doctorat:


  • Université de Rennes
    Ecole doctorale:
  • Mathématiques et Sciences et Technologies de l'Information et de la communication (MATHSTIC) 28/06/2024
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