Multi-drug association rule mining on graphics processing unit

"Medicine is an essential part of many people's health and wellbeing . However, drugs sometimes cause symptoms, many of which have yet to be associated to a drug or combination of drugs. Mining patient data allows unknown associations between drugs and symptoms to be discovered. General-purpose GPU computing is the next evolution in processing architectures; utilization of this massively parallel processor towards drug data mining will accelerate the research and discovery of drug-symptom associations that will save money and lives"--Leaf iv.

Name thesis:degree_name

Master of Science (MS) in Computer Science

Level thesis:degree_level

Thesis: EWU Only

Discipline thesis:degree_discipline

Computer Science

Year

2015

Author dc:creator

• Scholer, Jesse

• Data mining
• Drug interactions
• Drug monitoring
• Pharmacoepidemiology
• Medical informatics
• CUDA (Computer architecture)
• Graphics processing units
• Computer Sciences

Statement dc:rights

• Access perpetually restricted to EWU users with an active EWU NetID

Repository record dc:identifier

https://dc.ewu.edu/theses/309

OAI identifier oai:identifier

oai:dc.ewu.edu:theses-1308