{"id":{"repo_id":"wvu","oai_identifier":"oai:researchrepository.wvu.edu:etd-2092"},"canonical_url":"https://search.dev.ndltd.org/etd/wvu/oai:researchrepository.wvu.edu:etd-2092","repository":{"repo_id":"wvu","name":"West Virginia University","base_url":"https://researchrepository.wvu.edu/do/oai/"},"display":{"title":"Approaches to creating anonymous patient database","abstract":"Health care providers, health plans and health care clearinghouses collect patient medical data derived from their normal operations every day. These patient data can greatly benefit the health care organization if data mining techniques are applied upon these data sets. However, individual identifiable patient information needs to be protected in accordance with Health Insurance Portability and Accountability Act (HIPAA), and the quality of patient data also needs to be ensured in order for data mining tasks achieve accurate results. This thesis describes a patient data transformation system which transforms patient data into high quality and anonymous patient records that is suitable for data mining purposes.;This document discusses the underlying technologies, features implemented in the prototype, and the methodologies used in developing the software. The prototype emphasizes the patient privacy and quality of the patient data as well as software scalability and portability. Preliminary experience of its use is presented. A performance analysis of the system's behavior has also been done.","abstract_html":"Health care providers, health plans and health care clearinghouses collect patient medical data derived from their normal operations every day. These patient data can greatly benefit the health care organization if data mining techniques are applied upon these data sets. However, individual identifiable patient information needs to be protected in accordance with Health Insurance Portability and Accountability Act (HIPAA), and the quality of patient data also needs to be ensured in order for data mining tasks achieve accurate results. This thesis describes a patient data transformation system which transforms patient data into high quality and anonymous patient records that is suitable for data mining purposes.;This document discusses the underlying technologies, features implemented in the prototype, and the methodologies used in developing the software. The prototype emphasizes the patient privacy and quality of the patient data as well as software scalability and portability. Preliminary experience of its use is presented. 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Jagannathan."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2000,"date_issued":"2000-12-01T08:00:00Z","date_published":"2000-12-01T08:00:00Z","updated_at":"2026-07-24T06:15:16Z","subjects":["Computer science","Information science","Health care management"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["https://researchrepository.wvu.edu/etd/1089"],"render_values":[{"text":"https://researchrepository.wvu.edu/etd/1089","href":"https://researchrepository.wvu.edu/etd/1089","code":true}]}]},"links":{"outbound_url":"https://doi.org/10.33915/etd.1089","outbound_label":"DOI","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["V. 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These patient data can greatly benefit the health care organization if data mining techniques are applied upon these data sets. However, individual identifiable patient information needs to be protected in accordance with Health Insurance Portability and Accountability Act (HIPAA), and the quality of patient data also needs to be ensured in order for data mining tasks achieve accurate results. This thesis describes a patient data transformation system which transforms patient data into high quality and anonymous patient records that is suitable for data mining purposes.;This document discusses the underlying technologies, features implemented in the prototype, and the methodologies used in developing the software. The prototype emphasizes the patient privacy and quality of the patient data as well as software scalability and portability. Preliminary experience of its use is presented. 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This thesis describes a patient data transformation system which transforms patient data into high quality and anonymous patient records that is suitable for data mining purposes.;This document discusses the underlying technologies, features implemented in the prototype, and the methodologies used in developing the software. The prototype emphasizes the patient privacy and quality of the patient data as well as software scalability and portability. Preliminary experience of its use is presented. 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