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Three computational systems for disclosing medical data in the year 1999
Sweeney, Latanya - 1998
Today most organizations release and receive medical data with all explicit identifiers, such as name, address, and phone number, removed in the incorrect belief that patient confidentiality is maintained because the resulting data look anonymous. We examine three computer programs that do...
Persistent link: https://www.econbiz.de/10009440986
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Towards the optimal suppression of details when disclosing medical data, the use of sub-combination analysis
Sweeney, Latanya - 1998
Sharing medical data with researchers, economists, policy makers, administrators and other secondary viewers, immediately summons for consideration the dichotomy between the recipient’s needs and disclosure risk. Finding the optimal balance between the suppression of details within the...
Persistent link: https://www.econbiz.de/10009440987
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k-anonymity: a model for protecting privacy
Sweeney, Latanya - 2002
-world systems known as Datafly, m-Argus and k-Similar provide guarantees of privacy protection. …
Persistent link: https://www.econbiz.de/10009441210
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Computational Disclosure Control for Medical Microdata
Sweeney, Latanya - 1997
We present a computer program named Datafly that uses computational disclosure techniques to maintain anonymity in medical data by automatically generalizing, substituting and removing information as appropriate without losing many of the details found within the data. Decisions are made at the...
Persistent link: https://www.econbiz.de/10009441269
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Defining and protecting meta privacy: A new conceptual framework within information privacy
Skinner, Geoffrey; Han, Song; Chang, Elizabeth - 2006
When considering information security and privacy issues most of the attention has previously focused on data … protection and the privacy of personally identifiable information (PII). What is often overlooked is consideration for the … operational and transactional data. Specifically, the security and privacy protection of metadata and metastructure information of …
Persistent link: https://www.econbiz.de/10009434918
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A conceptual framework for privacy policy negotiation in web services
Wu, Chen; Potdar, Vidyasagar; Chang, Elizabeth - 2006
Research into privacy in web services based service-oriented environment gained attention in recent years. Business … Transaction Level Data (TLD) privacy is important because in web services the interaction between the Service Provider and Service … complex data, which raises many transaction level data privacy issues. In web services we can define arbitrary transaction …
Persistent link: https://www.econbiz.de/10009434922
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Maintaining Patient Confidentiality When Sharing Medical Data Requires a Symbiotic Relationship Between Technology and Policy
Sweeney, Latanya - 1997
Often organizations release and receive medical data with all explicit identifiers, such as name, address, phone number, and Social Security number, removed in the incorrect belief that patient confidentiality is maintained because the resulting data look anonymous; however, we show that in most...
Persistent link: https://www.econbiz.de/10009440982
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Creation of public use files: lessons learned from the comparative effectiveness research public use files data pilot project
Erdem, Erkan; Prada, Sergio I - Volkswirtschaftliche Fakultät, … - 2011
In this paper we describe lessons learned from the creation of Basic Stand Alone (BSA) Public Use Files (PUFs) for the Comparative Effectiveness Research Public Use Files Data Pilot Project (CER-PUF). CER-PUF is aimed at increasing access to the Centers for Medicare and Medicaid Services (CMS)...
Persistent link: https://www.econbiz.de/10009402075
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Probabilistic master lists: integration of patient records from different databases when unique patient identifier is missing
Alemi, Farrokh; Loaiza, Francisco; Vang, Jee - In: Health Care Management Science 10 (2007) 1, pp. 95-104
Persistent link: https://www.econbiz.de/10005680725
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The SIMCLAS Model: Simultaneous Analysis of Coupled Binary Data Matrices with Noise Heterogeneity Between and Within Data Blocks
Wilderjans, Tom; Ceulemans, E.; Mechelen, I. - In: Psychometrika 77 (2012) 4, pp. 724-740
In many research domains different pieces of information are collected regarding the same set of objects. Each piece of information constitutes a data block, and all these (coupled) blocks have the object mode in common. When analyzing such data, an important aim is to obtain an overall picture...
Persistent link: https://www.econbiz.de/10010848122