Damien Leprovost
A5033960843- Semantic Web and Ontologies
- Long-Term Effects of COVID-19
- COVID-19 Clinical Research Studies
- Web Data Mining and Analysis
- Machine Learning in Healthcare
- Complex Network Analysis Techniques
- Pharmacovigilance and Adverse Drug Reactions
- Peer-to-Peer Network Technologies
- Thermal Regulation in Medicine
- Artificial Intelligence in Healthcare
- Biomedical Text Mining and Ontologies
- COVID-19 and Mental Health
- Computational Drug Discovery Methods
- COVID-19 and healthcare impacts
- Pharmaceutical industry and healthcare
- Service-Oriented Architecture and Web Services
- Intensive Care Unit Cognitive Disorders
- COVID-19 diagnosis using AI
- Recommender Systems and Techniques
- Web visibility and informetrics
- Data-Driven Disease Surveillance
- Genomics and Rare Diseases
- Data Quality and Management
- Adolescent and Pediatric Healthcare
- Mobile Health and mHealth Applications
Inserm
2015-2023
Assistance Publique – Hôpitaux de Paris
2022-2023
Sorbonne Université
2016-2023
Université Sorbonne Paris Nord
2016-2023
Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances en e-Santé
2015-2023
Université Paris Cité
2016-2022
Hôpital Corentin-Celton
2022
Sorbonne Paris Cité
2016
Laboratoire d’Électronique, Informatique et Image
2010-2012
Université de Bourgogne
2011-2012
We leveraged the largely untapped resource of electronic health record data to address critical clinical and epidemiological questions about Coronavirus Disease 2019 (COVID-19). To do this, we formed an international consortium (4CE) 96 hospitals across five countries (www.covidclinical.net). Contributors utilized Informatics for Integrating Biology Bedside (i2b2) or Observational Medical Outcomes Partnership (OMOP) platforms map a common model. The group focused on temporal changes in key...
Prior research suggests that psychiatric disorders could be linked to increased mortality among patients with COVID-19. However, whether all or specific are intrinsic risk factors of death in COVID-19 these associations reflect the greater prevalence medical people has yet evaluated.We performed an observational, multicenter, retrospective cohort study examine association between and hospitalized for laboratory-confirmed at 36 Greater Paris University hospitals.Of 15,168 adult patients, 857...
ABSTRACT We leveraged the largely untapped resource of electronic health record data to address critical clinical and epidemiological questions about Coronavirus Disease 2019 (COVID-19). To do this, we formed an international consortium (4CE) 96 hospitals across 5 countries ( www.covidclinical.net ). Contributors utilized Informatics for Integrating Biology Bedside (i2b2) or Observational Medical Outcomes Partnership (OMOP) platforms map a common model. The group focused on comorbidities...
Background: Social media have drawn attention for their potential use in Pharmacovigilance. Recent work showed that it is possible to extract information concerning adverse drug reactions (ADRs) from posts social media. The main objective of the Vigi4MED project was evaluate relevance and quality shared by patients on web forums about safety its utility pharmacovigilance. Methods: After selecting websites interest, we manually evaluated content pharmacovigilance related six drugs...
Being a Community manager is an emerging employment in social Web companies.His or her role to monitor communities on devoted website, order understand new trends behaviours.He she also has discover and attract potential users of the website external resources like web forums, that are not necessarily same topics nor explicitly defined.In this paper we propose scalable protocol on-line communications, walls twits.We provide analysis method extract implicit user interests based semantics data...
Abstract Objective Integrating electronic health record (EHR) data with other resources is essential in rare disease research due to low prevalence. Such integration dependent on the alignment of ontologies used for annotation. The international classification diseases (ICD) annotate clinical diagnoses, while human phenotype ontology (HPO) phenotypes. Although these overlap biomedical entities they describe, extent which are interoperable unknown. We investigate how well aligned and whether...
To compare the computability of Observational Medical Outcomes Partnership (OMOP)-based queries related to prescreening patients using two versions OMOP common data model (CDM; v5.3 and v5.4) assess performance Greater Paris University Hospital (APHP) tool.We identified information items being relevant for with cancer. We randomly selected 15 academic industry-sponsored urology phase I-IV clinical trials (CTs) launched at APHP between 2016 2021. The criteria (PC) was defined by their...
Sharing observational and interventional health data within a common space enables university hospitals to leverage such for biomedical discovery moving towards learning system.To describe the AP-HP Health Data Space (AHDS) IT services supporting piloting, research, innovation patient care.Built on three pillars - governance ethics, technology valorization AHDS its major component, Clinical Warehouse (CDW) have been developed since 2015.The CDW has made available at scale both healthcare...
Background and objectives: Suspected adverse drug reactions (ADR) reported by patients through social media can be a complementary tool to already existing ADRs signal detection processes. However, several studies have shown that the quality of medical information published online varies drastically whatever health topic addressed. The aim this study is use an rating on set network web sites in order assess capabilities these tools guide experts for selecting most adapted site mine ADRs.