Publications by authors named "Julie Pouget"
Article Synopsis
- * Conducted at 19 pain and palliative care centers, the study found significant reductions in pain ratings from baseline to day 14, indicating that patients experienced relief.
- * The results showed that half of the participants responded positively to the treatment, with no serious adverse effects reported, supporting the idea of using low-dose methadone as a helpful addition to pain management strategies for cancer patients.
Comparison of text processing methods in social media-based signal detection.
Pharmacoepidemiol Drug Saf
October 2019
Purpose: Adverse event (AE) identification in social media (SM) can be performed using various types of natural language processing (NLP) and machine learning (ML). These methods can be categorized by complexity and precision level. Co-occurrence-based ML methods are rather basic, as they identify simultaneous appearance of drugs and clinical events in a single post.
View Article and Find Full Text PDFBackground: While traditional signal detection methods in pharmacovigilance are based on spontaneous reports, the use of social media is emerging. The potential strength of Web-based data relies on their volume and real-time availability, allowing early detection of signals of disproportionate reporting (SDRs).
Objective: This study aimed (1) to assess the consistency of SDRs detected from patients' medical forums in France compared with those detected from the traditional reporting systems and (2) to assess the ability of SDRs in identifying earlier than the traditional reporting systems.