An ontology-driven method for hierarchical mining of temporal patterns: application to HIV drug resistance research

Many biomedical research databases contain time-oriented data resulting from longitudinal, time-series and time-dependent study designs, knowledge of which is not handled explicitly by most data-analytic methods. To make use of such knowledge about research data, we have developed an ontology-driven...

Full description

Saved in:
Bibliographic Details
Published in:AMIA ... Annual Symposium proceedings 2007-10, Vol.2007, p.614-619
Main Authors: Raj, Rashmi, O'Connor, Martin J, Das, Amar K
Format: Article
Language:English
Subjects:
Algorithms
Anti-HIV Agents - therapeutic use
Databases as Topic
Drug Resistance, Viral - genetics
Genome, Viral
HIV - genetics
HIV Infections - drug therapy
HIV Infections - virology
Humans
Information Storage and Retrieval - methods
Knowledge Bases
Longitudinal Studies
Mutation
Time
User-Computer Interface
Viral Load
Vocabulary, Controlled
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Many biomedical research databases contain time-oriented data resulting from longitudinal, time-series and time-dependent study designs, knowledge of which is not handled explicitly by most data-analytic methods. To make use of such knowledge about research data, we have developed an ontology-driven temporal mining method, called ChronoMiner. Most mining algorithms require data be inputted in a single table. ChronoMiner, in contrast, can search for interesting temporal patterns among multiple input tables and at different levels of hierarchical representation. In this paper, we present the application of our method to the discovery of temporal associations between newly arising mutations in the HIV genome and past drug regimens. We discuss the various components of ChronoMiner, including its user interface, and provide results of a study indicating the efficiency and potential value of ChronoMiner on an existing HIV drug resistance data repository.
ISSN:1559-4076