Title :
BODY -- Buckets of Disease Symptoms for Disease Outbreak Analysis
Author :
Veeramachaneni, Hanisha ; Vadapalli, Soujanya ; Karlapalem, Kamalakar
Author_Institution :
Center for Data Eng., Int. Inst. of Inf. Technol., Hyderabad, India
Abstract :
Active day-to-day analysis of hospital record entries can help alert possible disease outbreaks. Such information could help health authorities in planning prevention and minimizing the influence of the disease outbreak. Given a set of hospital entry records of patients, we developed a toolkit named BODY to analyse the data - historical and current - to present insights into disease outbreak patterns and abnormal patterns in symptom incidences. From the analysis, we aim to predict a possible outbreak of diseases detailing symptoms, time zones and mortality rates. We illustrate BODY´s utility on the VAST 2010 Challenge Data containing hospital data entries from 11 cities across the world.
Keywords :
data analysis; data visualisation; diseases; health care; medical administrative data processing; records management; BODY; VAST 2010 challenge data; data analysis; disease outbreak analysis; disease symptom; health authority; hospital record entry; patient record; Data Analytics; Medical Data; Visual Analytics;
Conference_Titel :
Data Mining Workshops (ICDMW), 2010 IEEE International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4244-9244-2
Electronic_ISBN :
978-0-7695-4257-7
DOI :
10.1109/ICDMW.2010.193
