PREDOSE

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Revision as of 22:56, 18 July 2011 by W007dhc (Talk | contribs) (Funding)

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Goal
  1. To determine user knowledge attitudes and behavior related to the non-medical use of Pharmaceutical Opioids
  2. To determine temporal trends and patterns in drug abuse
People

PIs: Raminta Daniulaityte, Amit P. Sheth
Co-Investigators: Robert Carlson, Russel Falck
Students: Delroy Cameron, Sujan Udayanga

Project Description

This research project aims to develop a mechanism to automate 'qualitative coding' in social research by automatically extracting triples from web data, particularly web forum posts. The goal of such triple extraction is to provide a framework that can be exploited to study user knowledge, attitudes and behaviors as it relates to non-medical use of pharmaceutical opiods (e.g. OxyContin, buprenorphine etc). Interesting areas include 1) Social Network analysis, intended to determine information diffusion patterns and 2) Spatial-Temporal-Thematic analysis, intended to determine trends within the community regarding usage, distribution, of method of administration of pharmaceutical opioids (including Suboxone and Subutex, which are buprenorphine products).

Architecture
Fig1: Citar project Architecture
Publications

N/A