Cadec: A corpus of adverse drug event annotations

CSIRO Adverse Drug Event Corpus (Cadec) is a new rich annotated corpus of medical forum posts on patient-reported Adverse Drug Events (ADEs). The corpus is sourced from posts on social media, and contains text that is largely written in colloquial language and often deviates from formal English grammar and punctuation rules. Annotations contain mentions of concepts such as drugs, adverse effects, symptoms, and diseases linked to their corresponding concepts in controlled vocabularies, i.e., SNOMED Clinical Terms and MedDRA. The quality of the annotations is ensured by annotation guidelines, multi-stage annotations, measuring inter-annotator agreement, and final review of the annotations by a clinical terminologist. This corpus is useful for studies in the area of information extraction, or more generally text mining, from social media to detect possible adverse drug reactions from direct patient reports. The corpus is publicly available at https://data.csiro.au.¹     

Season-dependent symptoms in consultation-liaison patients

INTRODUCTION: We investigated those psychiatric patients whose reason for seeking medical help was primarily a physical condition. Our objectives were to analyse to what extent they suffered from seasonal variation in mood and behaviour during winter, and to examine whether these patients were evenly distributed between the categories of the ICD-10 Classification of Mental and Behavioural Disorders (ICD-10) by their primary diagnosis of mental disorder. METHOD: Patients attending the psychiatric services of a consultation liaison unit were interviewed for diagnosis, and were asked to fill in a questionnaire on seasonal variation in mood and behaviour. RESULTS: Our results suggest that there are many patients fulfilling the criteria based on the Seasonal Pattern Assessment uestionnaire (SPA) for seasonal affective disorder (SAD) or for subsyndromal SAD, not only in the ICD-10 diagnosis category of mood (affective) disorders but also in other disorder categories. CONCLUSION: This observation is of importance to hospital and private clinicians, as it emphasizes the need to assess the clinical picture in detail and to consider treatment alternatives for patients presenting with mental disorder with a seasonal pattern. (Int J Psych Clin Pract 2000; 4:151-154)     

Using Analogue Functional Analysis to Measure Variations in Problem Behavior Rate and Function After Psychotropic Medication Changes: A Clinical Demonstration

Individuals with intellectual and developmental disabilities are often prescribed psychotropic medication to treat behaviors such as aggression and self-injury. Evaluation of these medications is often based on caregiver report or changes in frequency of behavior. The purpose of this research was to characterize the rate and function of problem behavior within an analogue functional analysis for three individuals diagnosed with autism as they experienced psychotropic medication changes. Results revealed that problem behavior, in terms of rate and function, were different across the various drugs prescribed. These data suggest that medication changes did not only produce changes in the rate of behavior but also in its function; that is, in behavioral parlance, medications can become motivating operations. This finding is lending support for the usefulness of conducting functional assessments throughout psychotropic medication changes. The importance of monitoring functional changes of target behavior is that concurrent behavioral interventions may have to be adjusted in accordance with those altered functional properties. Recommendations regarding future directions for research and implications of this line of research for treatment are discussed.