Chloé Dimeglio
Dados Biográficos
| ID | 1700634 |
|---|---|
| NOME | Chloé Dimeglio |
| PRENOMES | Chloé |
| SOBRENOME | Dimeglio |
| ASSINATURA | DIMEGLIO C |
| AFILIAÇÕES | Centre National de la Recherche Scientifique |
| ORCID | 0000-0002-3713-4913 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 4 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2018 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 0 |
Contribution of Structure Learning Algorithms in Social Epidemiology
Epidemiologists often handle large datasets with numerous variables and are currently seeing a growing wealth of techniques for data analysis, such as machine learning. Critical aspects involve addressing causality, often based on observational data, and dealing with the complex relationships between variables to uncover the overall structure of variable interactions, causal or not. Structure learning (SL) methods aim to automatically or semi-aut…
Posttraumatic Stress Disorder Symptoms in Lymphoma Patients
The cancer experience may be marked by repeat stressors and/or traumas. The aim of our study was to assess traumatic events in a group of patients diagnosed with lymphoma and to determine which of these contribute to the development of Post-Traumatic Stress Disorder/PTSD. Two weeks after receiving a diagnosis of lymphoma, patients were referred for an assessment of peritraumatic distress (using the Peritraumatic Distress Inventory/PDI) and peritr…
The Prevalence of Hepatitis E in a Patient Cohort Presenting With Addictive Injection Behavior
Introduction: Hepatitis E is the most common cause of acute viral hepatitis worldwide. Seroprevalence is approximately 15% in developed countries, and 22% in France. hepatitis E virus (HEV) can be transmitted via transfusions and therefore possibly intravenous (IV) drug use. Hepatitis E serology is routinely tested in patients who seek medical advice for addictive injection behavior at the addiction treatment, support and prevention unit of Toulo…
Utilisation des réseaux bayésiens comme technique de fouille de données massives - application à des données de recours aux soins
Contexte. Les réseaux bayésiens sont utilisés selon deux approches distinctes, reposant sur les mêmes principes d'analyse bayésienne : comme outil de modélisation a priori faisant intervenir les hypothèses du chercheur, ou comme outil de fouille de données, sans hypothèse a priori de la part du chercheur. La première approche a diffusé dans la communauté biomédicale. La seconde provient avant tout de l'intelligence artificielle et n'est à notre c…
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Utilisation des réseaux bayésiens comme technique de fouille de données massives - application à des données de recours aux soins
Contexte. Les réseaux bayésiens sont utilisés selon deux approches distinctes, reposant sur les mêmes principes d'analyse bayésienne : comme outil de modélisation a priori faisant intervenir les hypothèses du chercheur, ou comme outil de fouille de données, sans hypothèse a priori de la part du chercheur. La première approche a diffusé dans la communauté biomédicale. La seconde provient avant tout de l'intelligence artificielle et n'est à notre c…
The Prevalence of Hepatitis E in a Patient Cohort Presenting With Addictive Injection Behavior
Introduction: Hepatitis E is the most common cause of acute viral hepatitis worldwide. Seroprevalence is approximately 15% in developed countries, and 22% in France. hepatitis E virus (HEV) can be transmitted via transfusions and therefore possibly intravenous (IV) drug use. Hepatitis E serology is routinely tested in patients who seek medical advice for addictive injection behavior at the addiction treatment, support and prevention unit of Toulo…
Posttraumatic Stress Disorder Symptoms in Lymphoma Patients
The cancer experience may be marked by repeat stressors and/or traumas. The aim of our study was to assess traumatic events in a group of patients diagnosed with lymphoma and to determine which of these contribute to the development of Post-Traumatic Stress Disorder/PTSD. Two weeks after receiving a diagnosis of lymphoma, patients were referred for an assessment of peritraumatic distress (using the Peritraumatic Distress Inventory/PDI) and peritr…
Contribution of Structure Learning Algorithms in Social Epidemiology
Epidemiologists often handle large datasets with numerous variables and are currently seeing a growing wealth of techniques for data analysis, such as machine learning. Critical aspects involve addressing causality, often based on observational data, and dealing with the complex relationships between variables to uncover the overall structure of variable interactions, causal or not. Structure learning (SL) methods aim to automatically or semi-aut…
Medicine (3 obras) · Bayesian Modeling and Causal Inference (2 obras) · Clinical Psychology (2 obras) · Clinical Psychology (2 obras) · Internal Medicine (2 obras) · Psychiatry (2 obras) · Psychology (2 obras) · Addiction (1 obras) · Advanced Causal Inference Techniques (1 obras) · Artificial Intelligence in Healthcare (1 obras)