Inria’s Exploratory Actions – Outils informatisés d’aide au Diagnostic des Maladies mentales – 2019-2022
Computerized tools to assist in the Diagnosis of Mental Illnesses
- Porteur : Maxime Amblard, MCF HDR Computer Science, Université de Lorraine
- Michel Musiol, Pr psychologie, Université de Lorraine
- Docteur Sophie Barthelemy, Psychiatric hospital Montperrin – Aix-en-Provence
- Manuel Rebuschi, MCF HDR philosophy, Université de Lorraine
- Samuel Buchel, PhD student
- Amandine Lecomte, research engineer (6 months)
- Pierre Lefebvre, engineer (16 months)
- Amandine Decker, intern (4 months)
- Angéline Pintore, intern (4 months)
Contact : maxime.amblard[at]univ-lorraine.fr
A general audience article describing the project ODiM
The purpose of Exploratory Actions is to facilitate the emergence of new research themes and to give scientists the resources they need to test original ideas.
- The work is based on real data from interviews with patients with schizophrenia. A data collection phase in partner hospitals and with a control group, consisting of interviews and neuro-cognitive tests, is therefore necessary.
- The data collection will allow the development of the theoretical model, both in psycholinguistic and semantic-formal formalization for the identification of diagnostic signs. The success of such a project requires the extension of the analysis methodology of the clinical interview in order to increase the model’s ability to identify sequences with symptomatic discontinuities.
- If the general objective of the project is to propose a methodological framework for defining and understanding diagnostic clues associated with psychosis, to identify the early signs of entry into the disease, we also wish to equip these approaches by developing software to automatically identify these clues, both in terms of discourse and language behaviour.
SlODiM, the tool in action
The tool is currently under development.
Overview of patient interviews
Contrast analysis between several interviews
Analysis of patient interviews
Syntactic analysis of a patient’s output