Background: Adverse drug reaction (ADR) reports in pharmacovigilance databases often contain coded information and large amounts of unstructured or semi-structured information in plain text format. The unstructured format and sheer volume of these data often render them neglected. Structural topic modelling (STM) represents a potentially insightful way of harnessing these valuable data and to detect grouping or themes in spontaneous reports to aid signal detection. Purpose: This was an explorative study of the potential for structural topic modelling to identify useful patterns in ADR reports involving opioid drugs in a pharmacovigilance database. Methods: A dataset of ADR reports on opioid drugs reported to the Netherlands Pharmacovigilanc...
Background: In the emergent situation of COVID-19, off-label therapies and newly developed vaccines ...
Aims: To investigate spontaneous reports of TdP present in the public version of the FDA Adverse Eve...
licenses/by-nc-nd/3.0/). Reproduction is permitted for personal, noncommercial use, provided that th...
Background: Adverse drug reaction (ADR) reports in pharmacovigilance databases often contain coded i...
International audienceBackground: The Food and Drug Administration (FDA) in the United States and th...
In the past twenty years, the consumption of opioid medications has reached significant proportions,...
Background: Recent increases in the nonmedical use of pharmaceutical opioids and the adverse outcome...
International audienceBackground: Medication nonadherence is a major impediment to the management of...
Text mining is the computational process of extracting meaningful information from large amounts of ...
OBJECTIVE: Opioid-based analgesia is routinely used in clinical practice for the management of pain ...
The relationship between drug and its side effects has been outlined in two websites: Sider and WebM...
Background: Adverse Drug Reactions are one of the leading causes of injury or death among patients u...
Aims To develop a systematic generic method of enabling patients to report Symptoms which they belie...
Abstract Background Adverse Drug Reactions (ADRs) are of great public health concern. FDA-approved d...
International audienceBackground: In the past years, social media have drawn attention for their pot...
Background: In the emergent situation of COVID-19, off-label therapies and newly developed vaccines ...
Aims: To investigate spontaneous reports of TdP present in the public version of the FDA Adverse Eve...
licenses/by-nc-nd/3.0/). Reproduction is permitted for personal, noncommercial use, provided that th...
Background: Adverse drug reaction (ADR) reports in pharmacovigilance databases often contain coded i...
International audienceBackground: The Food and Drug Administration (FDA) in the United States and th...
In the past twenty years, the consumption of opioid medications has reached significant proportions,...
Background: Recent increases in the nonmedical use of pharmaceutical opioids and the adverse outcome...
International audienceBackground: Medication nonadherence is a major impediment to the management of...
Text mining is the computational process of extracting meaningful information from large amounts of ...
OBJECTIVE: Opioid-based analgesia is routinely used in clinical practice for the management of pain ...
The relationship between drug and its side effects has been outlined in two websites: Sider and WebM...
Background: Adverse Drug Reactions are one of the leading causes of injury or death among patients u...
Aims To develop a systematic generic method of enabling patients to report Symptoms which they belie...
Abstract Background Adverse Drug Reactions (ADRs) are of great public health concern. FDA-approved d...
International audienceBackground: In the past years, social media have drawn attention for their pot...
Background: In the emergent situation of COVID-19, off-label therapies and newly developed vaccines ...
Aims: To investigate spontaneous reports of TdP present in the public version of the FDA Adverse Eve...
licenses/by-nc-nd/3.0/). Reproduction is permitted for personal, noncommercial use, provided that th...