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Stud Health Technol Inform. 2019 Jul 4;262:93-96. doi: 10.3233/SHTI190025.

Using Equivalent Classes of an Ontology to Understand Care Pathway in Amyotrophic Lateral Sclerosis.

Author information

1
Institut du Cerveau et de la Moelle épinière, ICM, INSERM U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France.
2
Sorbonne Université, INSERM, Univ. Paris 13, LIMICS, Paris, France.
3
Ramsay General de Santé, Hôpital Peupliers Paris, France.
4
AP-HP Pitié Salpêtrière, Dépt des maladies du Système Nerveux, Paris, France.
5
Assistance Publique-Hôpitaux de Paris, DRCI, Paris, France.

Abstract

To understand the home-based difficulties encountered in the health care pathways of patients with Amyotrophic Lateral Sclerosis (ALS), we must annotate a large amount of textual data, from a database created by the ALS Île de France coordination network. For this purpose, we have developed a modular ontology, consisting of four modules, and a semantic annotation tool integrating the created ontology. The specificity of our approach is the creation of equivalent classes at different levels of the ontology. These equivalent classes represent variables of interest allowing a statistical approach and a clinical analysis of comprehension of care pathways ruptures causing.

KEYWORDS:

Amyotrophic Lateral Sclerosis; Equivalent classes; care pathway

PMID:
31349274
DOI:
10.3233/SHTI190025
[Indexed for MEDLINE]

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