Abstract
The goal of this research is the discovery of useful concepts in temporal medical databases. Building on previous experiments, we introduce TEMPADIS, the Temporal Pattern Discovery System, which uses an Event Set Sequence approach to discover sequential patterns in medical data. We discuss problems unique to mining medical databases and introduce techniques to overcome some of these problems. Verification results are presented based on a database of Human Immunodeficiency Virus (HIV) patients monitored over four years.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
