The MESP team aims to cover all the dimensions necessary for the scientific valorization of complex data in three main areas: Pharmacoepidemiology, Perinatality and disability and Prevention of risks induced by the management of acute situations including infections associated with care and cardiovascular risks.
In public health, as in many other fields, technological advances have led to the increase but also to the complexity of the information that can be collected. Whether through the multiplicity of collection sources or the form of the information, the addition of data from connected objects also makes it scalable, underlining once again the complexity of the data generated.
Nevertheless, the use of this data continues to present many interests in medicine: identification of disease risk factors, assistance with diagnosis, epidemiology, etc., but will also give rise to new challenges in their treatment. The MESP team, which is organized around a pole competent in both public health and statistics, will allow :
- To ask the "right" questions due to the presence of health professionals;
- To know the data acquisition process and its complexity;
- To manage the ethical, regulatory and methodological aspects to be implemented for the use of this type of data;
- To develop new statistical approaches to analyze them according to the problems they may generate.
Statistical developments for complex medical data
- Data mining methods (machine learning, interactive exploration, graph analysis, ... ) for the purpose of partitioning, classification or prediction;
- Dimension reduction methods;
- Functional data or time series modeling adapted to new means of data acquisition such as connected objects;
- Mixed model types;
- Models combining data of different types: variables to be compressed (images, radio, etc.) and "classic" clinical data.
Development of methodology to adapt complex data to the quality requirements of clinical research.
- Integration of complex data into the clinical research process ;
- Control of data quality upstream;
- Tools for planning a project with arguments to rationally establish a reasonable number of subjects;
- Analysis strategy to optimize the reproducibility and readability of results;
- Ethical issues of artificial intelligence.
Applications of these developments to the team's health topics.
BRAINI will assess the performance of an automated blood test that can be used to prevent unnecessary CT brain scans for patients with a mild traumatic brain injury. The blood test measures two brain-specific proteins that are known to be elevated in patients who have intracranial lesions.
- Sophie Lambert-Lacroix (Enseignant-Chercheur)
- Caroline BAZZOLI (Enseignant-Chercheur)
- Pierrick BEDOUCH (Enseignant-Chercheur)
- Cécile BETRY (Enseignant-Chercheur)
- Jean-Luc BOSSON (Enseignant-Chercheur)
- Christophe CANCE (IT-BIATSS)
- Thierry DEBILLON (Enseignant-Chercheur)
- Claire EYCHENNE (IT-BIATSS)
- Frédéric GARBAN (Enseignant-Chercheur)
- Joris GIAI (Enseignant-Chercheur)
- Sophie LAMBERT-LACROIX (Enseignant-Chercheur)
- Caroline LANDELLE (Enseignant-Chercheur)
- Gilles PERNOD (Enseignant-Chercheur)
- Carole ROLLAND (IT-BIATSS)
- Céline VERMOREL (IT-BIATSS)
- Laura ALBALADEJO (IT-BIATSS)
- Marie CHEVALLIER (Chercheur)
- Anne EGO (Chercheur)
- Jérôme FAUCONNIER (Chercheur)
- Audrey GUYARD (Chercheur)
- Aurélien LEFAIVRE (IT-BIATSS)
- Sébastien LETOUT (IT-BIATSS)
- Pierre MADIOT (Collaborateur hospitalier)
- Elodie SELLIER (Chercheur)
- Tien-Vuong TRAN (Stagiaire)
Current thesis :
- Alexiane BALOCHE : "Developing a pathway of care for the medical care of long-term sequelae in patients surviving invasive meningococcal disease. " (framed by Claude DUSSART (P2S) , Gérard MICK (P2S) , Pierrick BEDOUCH )
- Sophie BARTH : "Objets connectés et transition post réadaptation : le vélo électrique intelligent pour la santé comme outil de maintien du niveau d'activité physique. " (framed by Jean-Luc BOSSON , Nicolas PINSAULT )
- Laure BUCKI : "Development of a large-scale patient metadata analysis tool: Application to the identification of risk factors for anastomotic leaks after colorectal surgery, and postoperative incisional hernias " (framed by Yves BAYON (INSERM) , Sophie LAMBERT-LACROIX , Alexandre MOREAU-GAUDRY )
- Yoann GABOREAU : "Méthodologies d'aide à la décision chez le patient traité par anticoagulant oral dans une maladie thrombo-embolique à partir d'études observationnelles. " (framed by Jean-Luc BOSSON , Gilles PERNOD )
- Meghann GALLOUCHE : "Staphylococcus aureus surgical site infections: risk factors and prevention methods " (framed by Caroline LANDELLE )
- Hugo TERRISSE : "Modélisation de données de santé complexes et hétérogènes pour la recherche clinique. " (framed by Jean-Luc BOSSON , Sophie LAMBERT-LACROIX )