A5007601836- Biomedical Text Mining and Ontologies
- Pharmacovigilance and Adverse Drug Reactions
- Computational Drug Discovery Methods
- Healthcare Systems and Practices
- Semantic Web and Ontologies
- Natural Language Processing Techniques
- Electronic Health Records Systems
- Pharmaceutical Practices and Patient Outcomes
- Drug-Induced Adverse Reactions
- Topic Modeling
- Health Systems, Economic Evaluations, Quality of Life
- Statistical Methods in Clinical Trials
- Data-Driven Disease Surveillance
- Data Quality and Management
- Pharmaceutical Economics and Policy
- Clinical practice guidelines implementation
- Inflammatory mediators and NSAID effects
- Advanced Text Analysis Techniques
- Atrial Fibrillation Management and Outcomes
- Machine Learning in Healthcare
- Health, Medicine and Society
- Pharmaceutical studies and practices
- Pharmaceutical industry and healthcare
- Data Visualization and Analytics
- Healthcare Systems and Technology
Inserm
2013-2023
Bordeaux Population Health
2014-2023
Université de Bordeaux
2012-2022
Centre Hospitalier Universitaire de Bordeaux
2010-2021
Hôpital Pellegrin
2009-2021
Santé Publique France
2012-2019
Université de Lille
2018
Centre National de la Recherche Scientifique
2018
Savoirs, Textes, Langage
2018
Pharmac
2005-2018
<b>Objectives</b> To investigate the cardiovascular safety of non-steroidal anti-inflammatory drugs (NSAIDs) and estimate risk hospital admission for heart failure with use individual NSAIDs. <b>Design</b> Nested case-control study. <b>Setting</b> Five population based healthcare databases from four European countries (the Netherlands, Italy, Germany, United Kingdom). <b>Participants</b> Adult individuals (age ≥18 years) who started NSAID treatment in 2000-10. Overall, 92...
Objectives The aim of this research was to automate the search publications concerning adverse drug reactions (ADR) by defining queries used MEDLINE and determining required threshold for number extracted confirm drug/event association in literature. Methods We defined an approach based on medical subject headings (MeSH) 'descriptor records' 'supplementary concept thesaurus, using subheadings 'chemically induced' 'adverse effects' with 'pharmacological action' knowledge. An expert-built...
Pharmacovigilance aims at detecting the adverse effects of marketed drugs. It is generally based on spontaneous reporting events thought to be Spontaneous Reporting Systems (SRSs) supply huge databases that pharmacovigilance experts cannot exhaustively exploit without data mining tools. Data methods; i.e., statistical association measures in conjunction with signal generation criteria, have been proposed literature but there no consensus regarding their applicability and efficiency,...
Abstract Pharmacovigilance spontaneous reporting systems are primarily devoted to early detection of the adverse reactions marketed drugs. They maintain large databases (SRD) for which several automatic signalling methods have been developed. A common limitation these lies in fact that they do not provide an auto‐evaluation generated signals so thresholds alerts arbitrarily chosen. In this paper, we propose revisit Gamma Poisson Shrinkage (GPS) model and Bayesian Confidence Propagation...
Summary Pharmacovigilance systems aim at early detection of adverse effects marketed drugs. They maintain large spontaneous reporting databases for which several automatic signaling methods have been developed. One limit those is that the decision rules signal generation are based on arbitrary thresholds. In this article, we propose a new signal‐generation procedure. The criterion formulated in terms critical region P‐values resulting from odds ratio method as well Fisher's exact test. For...
Introduction Drug interactions could account for 1% of hospitalizations in the general population and 2-5% hospital admissions elderly. However, few data are available on drugs concerned potential severity encountered. We thus first aimed to estimate prevalence dispensings including Contraindicated or Discommended because Interactions (CDI codispensings) identify most frequently involved drug pairs. Second, we investigate whether frequency CDI codispensings appeared higher lower than...
The early detection of adverse reactions caused by drugs that are already on the market is prime concern pharmacovigilance efforts; methods in use for postmarketing surveillance aimed at detecting signals pointing to potential safety concerns, basis reports from health-care providers and information available various databases. Signal based estimation false discovery rate (FDR) have recently been proposed. They address limitation arbitrary thresholds automatic current use, including those...
The prognosis for survival of patients infected with the human immunodeficiency virus (HIV) who develop non-Hodgkin lymphoma (NHL) usually is considered to be poor. To authors' knowledge impact highly active antiretroviral therapy, recently introduced in HIV disease case management, has not yet been studied such circumstances.All cases NHL prospectively diagnosed between January 1986 and December 1997 among followed Aquitaine Cohort were reviewed. Kaplan-Meier method proportional hazards...
The overall objective of the eu-ADR project is design, development, and validation a computerised system that exploits data from electronic health records biomedical databases for early detection adverse drug reactions. Eight different databases, containing more than 30 million European citizens, are involved in project. Unique queries cannot be performed across because their heterogeneity: Medical record Claims four terminologies coding diagnoses, two languages information described free...
Large data sets with many variables provide particular challenges when constructing analytic models. Lasso-related methods a useful tool, although one that remains unfamiliar to most epidemiologists.We illustrate the application of lasso in an analysis impact prescribed drugs on risk road traffic crash, using large French nationwide database (PLoS Med 2010;7:e1000366). In original case-control study, authors analyzed each exposure separately. We use method, which can simultaneously perform...
The overall objective of the EU-ADR project is design, development, and validation a computerised system that exploits data from electronic health records biomedical databases for early detection adverse drug reactions. Eight different databases, containing more than 30 million European citizens, are involved in project. Unique queries cannot be performed across because their heterogeneity: Medical record Claims four terminologies coding diagnoses, two languages information described free...
Misuses may happen when patients do not follow the prescriptions and actions which lead to potentially harmful situations, such as intakes of incorrect dosage (overuse or underuse) drug use for indications different from those prescribed. Although situations are dangerous, usually report misuse drugs their physicians. Hence, other sources information necessary studying these issues. We assume that online health fora can provide propose exploit them. The general purpose our work is automatic...
ABSTRACT Purpose To test an automated method to decrease the number of false‐positive (FP) signals disproportionate reportings (SDRs) generated by co‐prescription. Methods Automated backward stepwise removal reports concerning drug associated with highest ranked SDR for event was tested gastric and oesophageal haemorrhages (GOH), central nervous system cerebrovascular accidents (CNSH), ischaemic coronary artery disorders muscle pains (MP) using reporting odds ratio in French spontaneous...