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Publications EN

Discover the scientific publications of the work carried out by the Kaduceo team in collaboration with the medical and research teams of the partner health institutions

A Prospective Pharmacoepidemiologic Cohort Study in 30 French NICUs From 2014 to 2020

Publications EN / 26/07/2022 26/07/2022

No consensus exists about the doses of analgesics, sedatives, anesthetics, and paralytics used in critically ill neonates.

Comparison of explanatory methods: influence of characteristics

Publications EN / 22/06/2022 22/06/2022

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

Publications EN / 06/06/2022 22/06/2022

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

Publications EN / 23/05/2022 06/06/2022

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

Publications EN / 23/05/2022 23/05/2022

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

Publications EN / 14/03/2022 14/03/2022

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

Publications EN / 17/02/2022 17/02/2022

Evaluate the ability of an AI model (Deep Learning) to distinguish different eye pathologies to accelerate diagnosis

Effect of bariatric surgery on cancer risk

Publications EN / 17/02/2022 21/04/2022

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

Publications EN / 14/01/2022 14/01/2022

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)

Publications EN / 14/01/2022 14/01/2022

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

Publications EN / 22/09/2021 22/09/2021

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

Publications EN / 22/09/2021 22/09/2021

This study analyzes trends in metabolic bariatric surgery among adolescents in France on the basis of national data over an 11-year period

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