A Prospective Pharmacoepidemiologic Cohort Study in 30 French NICUs From 2014 to 2020
No consensus exists about the doses of analgesics, sedatives, anesthetics, and paralytics used in critically ill neonates.
Comparison of explanatory methods: influence of characteristics
Kaduceo, co-author of work presented at the 24th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data
Comparison of predictive models for cumulative live birth rate after treatment with ART
Explicability-based methods would allow access to new knowledge, to gain a greater comprehension of which characteristics and interactions really influence a couple’s journey. These models can be used by practitioners and patients to make better informed decisions about performing ART.
Risk factors for early mortality of lung cancer patients in France: A nationwide analysis
Despite therapeutic advances, lung cancer remains the first cause of death from cancer. The main objective of this study was to identify risk factors associated with death within 3-months of the first hospitalization for lung cancer in France.
Analysis of COVID-19 inpatients in France during first lockdown of 2020 using explainability methods
This in-depth analysis determined significantly distinct typologies of inpatients, which facilitated definition of medical protocols to deliver the most appropriate cares for each profile.
Machine Learning analysis: Evolution of hospitalized patient characteristics through the first three COVID-19 waves
Evolution of hospitalized patient characteristics through the first three COVID-19 waves in Paris area using machine learning analysis
Ophthalmology: Image classification based on a Deep Learning model to accelerate diagnosis
Evaluate the ability of an AI model (Deep Learning) to distinguish different eye pathologies to accelerate diagnosis
Effect of bariatric surgery on cancer risk
Obesity is strongly associated with many types of cancer. The goal of this study is to determine if bariatric surgery is associated with a lower risk of cancer.
Impact of the establishment of a reference center for rare respiratory diseases
Collaboration with CHI Créteil to study the impact of the establishment of a reference center for rare lung diseases on the care pathway of patients
Lyme Disease: A Cost-Effectiveness Study of Management (FR)
Lyme disease is the most common vector-borne disease in France – its diagnosis sometimes leads to medical wanderings for patients and a significant cost for the healthcare system.
Coalitional Strategies for Efficient Individual Prediction Explanation
As machine learning (ML) is now widely applied in many fields, understanding what happens inside the black box is becoming a growing demand, especially by non-experts of these models.
Trends in metabolic bariatric surgery in adolescents in France
This study analyzes trends in metabolic bariatric surgery among adolescents in France on the basis of national data over an 11-year period