| Title: |
Toward Decision Support System for Lower Limb Endovascular Revascularization |
| Authors: |
Roux, M; Spear, R.; Haigron, Pascal; Demeure, Alexandre; Fouard, Céline |
| Contributors: |
Translational Innovation in Medicine and Complexity / Recherche Translationnelle et Innovation en Médecine et Complexité - UMR 5525 (TIMC); VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP); Université Grenoble Alpes (UGA); Laboratoire Traitement du Signal et de l'Image (LTSI); Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM); Laboratoire d'Informatique de Grenoble (LIG); Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP); ANR-11-LABX-0004,CAMI,Gestes Médico-Chirurgicaux Assistés par Ordinateur(2011); ANR-19-P3IA-0003,MIAI,MIAI @ Grenoble Alpes(2019) |
| Source: |
2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC); https://hal.science/hal-04874183; 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul 2024, Orlando, United States. pp.1-4, ⟨10.1109/embc53108.2024.10782314⟩ |
| Publisher Information: |
CCSD |
| Publication Year: |
2024 |
| Collection: |
Université Grenoble Alpes: HAL |
| Subject Terms: |
Context modeling; Diseases; Engineering in medicine and biology; Numerical models; Cognition; Data models; Lead; Surgery; Pathology; Decision support systems; [SDV.IB]Life Sciences [q-bio]/Bioengineering |
| Subject Geographic: |
Orlando; United States |
| Description: |
International audience ; Vascular surgeons take decisions on the revascularization technics when surgery is needed for patients with Lower Extremities Arterial Disease (LEAD). This decision requires experience, good knowledge of official recommandations and new technics and an exhaustive description of the patient status. The Case Based Reasoning (CBR) is a good candidate to clinical decision support. To assess its applicability to LEAD, this study proposes a numerical modelization of patient data in this context, application of hierarchical and heterogenous similarity measures on retrospective data. We showed that similar pathological contexts of patients induce similar revascularization technics, which confirms CBR is usable for our purpose. These experiments need to be reproduced in the future to confirm these results on prospective data. |
| Document Type: |
conference object |
| Language: |
English |
| DOI: |
10.1109/embc53108.2024.10782314 |
| Availability: |
https://hal.science/hal-04874183; https://hal.science/hal-04874183v1/document; https://hal.science/hal-04874183v1/file/FullPaper_EMBC_2024.pdf; https://doi.org/10.1109/embc53108.2024.10782314 |
| Rights: |
http://creativecommons.org/licenses/by/ ; info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.BD569DBD |
| Database: |
BASE |