Evaluating common de-identification heuristics for personal health information. - Wikidata - awgldk - TriplyDB

Evaluating common de-identification heuristics for personal health information.

Evaluating common de-identification heuristics for personal health information.

http://www.wikidata.org/entity/Q35628821

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Evaluating predictors of geographic area population size cut-offs to manage re-identification risk Identifiability in biobanks: models, measures, and mitigation strategies DeID - a data sharing tool for neuroimaging studies SHARE: system design and case studies for statistical health information release Are personal health records safe? A review of free web-accessible personal health record privacy policies How strong are passwords used to protect personal health information in clinical trials?Anonymization of administrative billing codes with repeated diagnoses through censoring Never too old for anonymity: a statistical standard for demographic data sharing via the HIPAA Privacy Rule De-identifying a public use microdata file from the Canadian national discharge abstract database A globally optimal k-anonymity method for the de-identification of health data A method for managing re-identification risk from small geographic areas in Canada.Evaluating the Risk of Re-identification of Patients from Hospital Prescription Records Evaluating the risk of patient re-identification from adverse drug event reports.Estimating the re-identification risk of clinical data sets Enabling genomic-phenomic association discovery without sacrificing anonymity.Ethics and privacy issues of a practice-based surveillance system: need for a national-level institutional research ethics board and consent standards An evaluation of personal health information remnants in second-hand personal computer disk drives.P2P watch: personal health information detection in peer-to-peer file-sharing networks An Approach to Reducing Information Loss and Achieving Diversity of Sensitive Attributes in k-anonymity Methods Protecting privacy using k-anonymity.Ethical and practical challenges to studying patients who opt out of large-scale biorepository research.Toward a fully de-identified biomedical information warehouse.Preserving medical correctness, readability and consistency in de-identified health records.

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P2860

Evaluating common de-identification heuristics for personal health information.

http://www.wikidata.org/entity/Q35628821

description

2006 nî lūn-bûn

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2006年の論文

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2006年論文

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2006年論文

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2006年論文

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2006年論文

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2006年論文

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2006年论文

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2006年论文

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2006年论文

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Evaluating common de-identification heuristics for personal health information.

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Evaluating common de-identification heuristics for personal health information.

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Journal of Medical Internet Research

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Evaluating common de-identification heuristics for personal health information.

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Khaled El Emam

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Michael Power

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Sam Jabbouri

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Scott Sams

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Youenn Drouet

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P2860

Accuracy of city postal code coordinates as a proxy for location of residence

Patients' consent preferences for research uses of information in electronic medical records: interview and survey data.

Potential impact of the HIPAA privacy rule on data collection in a registry of patients with acute coronary syndrome.

Confidentiality and confidence: is data aggregation a means to achieve both?

Selection bias from requiring patients to give consent to examine data for health services research.

Current state of information technology use in a US primary care practice-based research network.

Potential effect of authorization bias on medical record research.

A feasibility study of signed consent for the collection of patient identifiable information for a national paediatric clinical audit database.

Recruiting patients to medical research: double blind randomised trial of "opt-in" versus "opt-out" strategies

Bias from requiring explicit consent from all participants in observational research: prospective, population based study.

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10.2196/JMIR.8.4.E28

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