Faculty Bibliography

When analyzing thousands of event histories, analysts often want to see the events as an aggregate to detect insights and generate new hypotheses about the data. An analysis tool must emphasize both the prevalence and the temporal ordering of these events. Additionally, the analysis tool must also support flexible comparisons to allow analysts to gather visual evidence. In a previous work, we introduced align, rank, and filter (ARF) to accentuate temporal ordering. In this paper, we present temporal summaries, an interactive visualization technique that highlights the prevalence of event occurrences. Temporal summaries dynamically aggregate events in multiple granularities (year, month, week, day, hour, etc.) for the purpose of spotting trends over time and comparing several groups of records. They provide affordances for analysts to perform temporal range filters. We demonstrate the applicability of this approach in two extensive case studies with analysts who applied temporal summaries to search, filter, and look for patterns in electronic health records and academic records.

Epilepsy partialis continua is an uncommon, localisation-related, seizure characterised by simple partial motor seizures with repetitive clonic jerks. A case of type I diabetes mellitus in a child who had presented with epilepsy partialis continua is presented. Antiglutamic acid decarboxylase 65 antibodies were found in his serum. Seizures were eventually controlled by anti-epileptic drugs, insulin and IV gamma.