{"id":{"repo_id":"eastern-wash","oai_identifier":"oai:dc.ewu.edu:theses-1308"},"canonical_url":"https://search.dev.ndltd.org/etd/eastern-wash/oai:dc.ewu.edu:theses-1308","repository":{"repo_id":"eastern-wash","name":"Eastern Washington University","base_url":"https://dc.ewu.edu/do/oai/"},"display":{"title":"Multi-drug association rule mining on graphics processing unit","abstract":"\"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.","abstract_html":""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.","abstract_has_math":false,"creators":["Scholer, Jesse"],"institution":null,"degree_name":"Master of Science (MS) in Computer Science","degree_level":"Thesis: EWU Only","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-01-01T08:00:00Z","date_published":"2015-01-01T08:00:00Z","updated_at":"2026-07-24T02:12:33Z","subjects":["Data mining","Drug interactions","Drug monitoring","Pharmacoepidemiology","Medical informatics","CUDA (Computer architecture)","Graphics processing units","Computer Sciences"],"languages":[],"rights":["Access perpetually restricted to EWU users with an active EWU NetID"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://dc.ewu.edu/theses/309","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Scholer, Jesse"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis: EWU Only"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science (MS) in Computer Science"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Data mining","Drug interactions","Drug monitoring","Pharmacoepidemiology","Medical informatics","CUDA (Computer architecture)","Graphics processing units","Computer Sciences"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["Access perpetually restricted to EWU users with an active EWU NetID"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://dc.ewu.edu/theses/309"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["\"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."]},{"key":"dc:title","label":"Title","values":["Multi-drug association rule mining on graphics processing unit"]}]}],"canonical_facts":{"dc:creator":["Scholer, Jesse"],"dc:description.abstract":["\"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."],"dc:identifier":["https://dc.ewu.edu/theses/309"],"dc:rights":["Access perpetually restricted to EWU users with an active EWU NetID"],"dc:subject":["Data mining","Drug interactions","Drug monitoring","Pharmacoepidemiology","Medical informatics","CUDA (Computer architecture)","Graphics processing units","Computer Sciences"],"dc:title":["Multi-drug association rule mining on graphics processing unit"],"thesis:degree_discipline":["Computer Science"],"thesis:degree_level":["Thesis: EWU Only"],"thesis:degree_name":["Master of Science (MS) in Computer Science"]},"updated_at":"2026-07-24T02:12:33Z"}