A5011286313- Pharmacovigilance and Adverse Drug Reactions
- Pharmaceutical industry and healthcare
- Biomedical Text Mining and Ontologies
- Computational Drug Discovery Methods
- Medication Adherence and Compliance
- Academic integrity and plagiarism
- Pharmaceutical Economics and Policy
- Digital Mental Health Interventions
- Drug-Induced Adverse Reactions
- Pharmaceutical Quality and Counterfeiting
- Data-Driven Disease Surveillance
- HIV, Drug Use, Sexual Risk
- Spam and Phishing Detection
Centre de Recherche des Cordeliers
2015-2018
Sorbonne Université
2017
Inserm
2017
Medication nonadherence is a major impediment to the management of many health conditions. A better understanding factors underlying noncompliance treatment may help professionals address it. Patients use peer-to-peer virtual communities and social media share their experiences regarding treatments diseases. Using topic models makes it possible model themes present in collection posts, thus identify cases noncompliance.The aim this study was detect messages describing patients' noncompliant...
With the increasing popularity of Web 2.0 applications, social media has made it possible for individuals to post messages on adverse drug reactions. In such online conversations, patients discuss their symptoms, medical history, and diseases. These disorders may correspond reactions (ADRs) or any other condition. Therefore, methods must be developed distinguish between false positives true ADR declarations.The aim this study was investigate a method filtering out disorder terms that did not...
While traditional signal detection methods in pharmacovigilance are based on spontaneous reports, the use of social media is emerging. The potential strength Web-based data relies their volume and real-time availability, allowing early signals disproportionate reporting (SDRs).This study aimed (1) to assess consistency SDRs detected from patients' medical forums France compared with those systems (2) ability identifying earlier than systems.Messages posted between 2005 2015 were used. We...
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.
<sec> <title>BACKGROUND</title> Medication nonadherence is a major impediment to the management of many health conditions. A better understanding factors underlying noncompliance treatment may help professionals address it. Patients use peer-to-peer virtual communities and social media share their experiences regarding treatments diseases. Using topic models makes it possible model themes present in collection posts, thus identify cases noncompliance. </sec> <title>OBJECTIVE</title> The aim...
<sec> <title>BACKGROUND</title> While traditional signal detection methods in pharmacovigilance are based on spontaneous reports, the use of social media is emerging. The potential strength Web-based data relies their volume and real-time availability, allowing early signals disproportionate reporting (SDRs). </sec> <title>OBJECTIVE</title> This study aimed (1) to assess consistency SDRs detected from patients’ medical forums France compared with those systems (2) ability identifying earlier...