当前位置： SCI文献检索 > JOURNAL OF BIOMEDICAL INFORMATICS期刊下所有文献 > A flexible approach to distributed data anonymization.

A flexible approach to distributed data anonymization.

Abstract：

:Sensitive biomedical data is often collected from distributed sources, involving different information systems and different organizational units. Local autonomy and legal reasons lead to the need of privacy preserving integration concepts. In this article, we focus on anonymization, which plays an important role for the re-use of clinical data and for the sharing of research data. We present a flexible solution for anonymizing distributed data in the semi-honest model. Prior to the anonymization procedure, an encrypted global view of the dataset is constructed by means of a secure multi-party computing (SMC) protocol. This global representation can then be anonymized. Our approach is not limited to specific anonymization algorithms but provides pre- and postprocessing for a broad spectrum of algorithms and many privacy criteria. We present an extensive analytical and experimental evaluation and discuss which types of methods and criteria are supported. Our prototype demonstrates the approach by implementing k-anonymity, ℓ-diversity, t-closeness and δ-presence with a globally optimal de-identification method in horizontally and vertically distributed setups. The experiments show that our method provides highly competitive performance and offers a practical and flexible solution for anonymizing distributed biomedical datasets.

journal_name

J Biomed Inform

journal_title

Journal of biomedical informatics

authors

Kohlmayer F,Prasser F,Eckert C,Kuhn KA

doi

10.1016/j.jbi.2013.12.002

subject

Has Abstract

pub_date

2014-08-01 00:00:00

pages

62-76

eissn

1532-0464

issn

1532-0480

pii

S1532-0464(13)00193-7

journal_volume

50

pub_type

杂志文章

相关文献

JOURNAL OF BIOMEDICAL INFORMATICS文献大全
  • Digital subtraction angiogram registration method with local distortion vectors to decrease motion artifact.

    abstract：:We have been investigating registration methods for improving digital subtraction angiography (DSA) images to extract blood vessels by reducing artifacts due to body motion, such as rotation, contraction, and dilation. In this paper, we propose a new and simple DSA registration algorithm with local distortion vectors ...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1006/jbin.2001.1018

    authors： Hiroshima K,Funakami R,Hiratsuka K,Nishino J,Odaka T,Ogura H,Fukushima T,Nishimoto Y,Tanaka M,Ito H,Yamamoto K

    更新日期：2001-06-01 00:00:00

  • Classification of forensic autopsy reports through conceptual graph-based document representation model.

    abstract：:Text categorization has been used extensively in recent years to classify plain-text clinical reports. This study employs text categorization techniques for the classification of open narrative forensic autopsy reports. One of the key steps in text classification is document representation. In document representation,...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2018.04.013

    authors： Mujtaba G,Shuib L,Raj RG,Rajandram R,Shaikh K,Al-Garadi MA

    更新日期：2018-06-01 00:00:00

  • The EU-ADR corpus: annotated drugs, diseases, targets, and their relationships.

    abstract：:Corpora with specific entities and relationships annotated are essential to train and evaluate text-mining systems that are developed to extract specific structured information from a large corpus. In this paper we describe an approach where a named-entity recognition system produces a first annotation and annotators ...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2012.04.004

    authors： van Mulligen EM,Fourrier-Reglat A,Gurwitz D,Molokhia M,Nieto A,Trifiro G,Kors JA,Furlong LI

    更新日期：2012-10-01 00:00:00

  • PharmActa: Personalized pharmaceutical care eHealth platform for patients and pharmacists.

    abstract：:Community pharmacists are critically placed in the patient care chain being an extended frontline within primary healthcare networks across Europe. They are trained to ensure safe and effective medication use, a crucial and responsible role, extending beyond the common misconception limited to just providing timely ac...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2019.103336

    authors： Spanakis M,Sfakianakis S,Kallergis G,Spanakis EG,Sakkalis V

    更新日期：2019-12-01 00:00:00

  • Modelling and analysing the dynamics of disease progression from cross-sectional studies.

    abstract：:Clinical trials are typically conducted over a population within a defined time period in order to illuminate certain characteristics of a health issue or disease process. These cross-sectional studies give us a 'snapshot' of this disease process over a large number of people but do not allow us to model the temporal ...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2012.11.003

    authors： Li Y,Swift S,Tucker A

    更新日期：2013-04-01 00:00:00

  • MACE prediction of acute coronary syndrome via boosted resampling classification using electronic medical records.

    abstract：OBJECTIVES:Major adverse cardiac events (MACE) of acute coronary syndrome (ACS) often occur suddenly resulting in high mortality and morbidity. Recently, the rapid development of electronic medical records (EMR) provides the opportunity to utilize the potential of EMR to improve the performance of MACE prediction. In t...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2017.01.001

    authors： Huang Z,Chan TM,Dong W

    更新日期：2017-02-01 00:00:00

  • Continuous time Bayesian network classifiers.

    abstract：:The class of continuous time Bayesian network classifiers is defined; it solves the problem of supervised classification on multivariate trajectories evolving in continuous time. The trajectory consists of the values of discrete attributes that are measured in continuous time, while the predicted class is expected to ...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2012.07.002

    authors： Stella F,Amer Y

    更新日期：2012-12-01 00:00:00

  • Use of an interactive tool to assess patients' willingness-to-pay.

    abstract：:Assessment of willingness to pay (WTP) has become an important issue in health care technology assessment and in providing insight into the risks and benefits of treatment options. We have accordingly explored the use of an interactive method for assessment of WTP. To illustrate our methodology, we describe the develo...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1006/jbin.2002.1032

    authors： Matthews D,Rocchi A,Wang EC,Gafni A

    更新日期：2001-10-01 00:00:00

  • Methodological variations in lagged regression for detecting physiologic drug effects in EHR data.

    abstract：:We studied how lagged linear regression can be used to detect the physiologic effects of drugs from data in the electronic health record (EHR). We systematically examined the effect of methodological variations ((i) time series construction, (ii) temporal parameterization, (iii) intra-subject normalization, (iv) diffe...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2018.08.014

    authors： Levine ME,Albers DJ,Hripcsak G

    更新日期：2018-10-01 00:00:00

  • A novel web informatics approach for automated surveillance of cancer mortality trends.

    abstract：:Cancer surveillance data are collected every year in the United States via the National Program of Cancer Registries (NPCR) and the Surveillance, Epidemiology and End Results (SEER) Program of the National Cancer Institute (NCI). General trends are closely monitored to measure the nation's progress against cancer. The...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2016.03.027

    authors： Tourassi G,Yoon HJ,Xu S

    更新日期：2016-06-01 00:00:00

  • Specifying computer-based counseling systems in health care: a new approach to user-interface and interaction design.

    abstract：:Computer-based counseling systems in health care play an important role in the toolset available for medical doctors to inform, motivate and challenge their patients according to a well-defined therapeutic goal. The design, development and implementation of such systems require close collaboration between users, i.e. ...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2008.10.005

    authors： Herzberg D,Marsden N,Kübler P,Leonhardt C,Thomanek S,Jung H,Becker A

    更新日期：2009-04-01 00:00:00

  • The REDCap consortium: Building an international community of software platform partners.

    abstract：:The Research Electronic Data Capture (REDCap) data management platform was developed in 2004 to address an institutional need at Vanderbilt University, then shared with a limited number of adopting sites beginning in 2006. Given bi-directional benefit in early sharing experiments, we created a broader consortium shari...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2019.103208

    authors： Harris PA,Taylor R,Minor BL,Elliott V,Fernandez M,O'Neal L,McLeod L,Delacqua G,Delacqua F,Kirby J,Duda SN,REDCap Consortium.

    更新日期：2019-07-01 00:00:00

  • Biomedical ontologies: what part-of is and isn't.

    abstract：:Mereological relations such as part-of and its inverse has-part are fundamental to the description of the structure of living organisms. Whereas classical mereology focuses on individual entities, mereological relations in biomedical ontologies are generally asserted between classes of individuals. In general, this pr...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2005.11.003

    authors： Schulz S,Kumar A,Bittner T

    更新日期：2006-06-01 00:00:00

  • Benchmarking relief-based feature selection methods for bioinformatics data mining.

    abstract：:Modern biomedical data mining requires feature selection methods that can (1) be applied to large scale feature spaces (e.g. 'omics' data), (2) function in noisy problems, (3) detect complex patterns of association (e.g. gene-gene interactions), (4) be flexibly adapted to various problem domains and data types (e.g. g...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2018.07.015

    authors： Urbanowicz RJ,Olson RS,Schmitt P,Meeker M,Moore JH

    更新日期：2018-09-01 00:00:00

  • Developing, implementing, and evaluating decision support systems for shared decision making in patient care: a conceptual model and case illustration.

    abstract：:The importance of including patient preferences in decisions regarding their care has received increased emphasis over recent years. Medical informatics can play an important role in improving patient-centered care by developing decision support systems to support the inclusion of patient preferences in clinical decis...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/s1532-0464(03)00037-6

    authors： Ruland CM,Bakken S

    更新日期：2002-10-01 00:00:00

  • Analysis of microarray leukemia data using an efficient MapReduce-based K-nearest-neighbor classifier.

    abstract：:Microarray-based gene expression profiling has emerged as an efficient technique for classification, prognosis, diagnosis, and treatment of cancer. Frequent changes in the behavior of this disease generates an enormous volume of data. Microarray data satisfies both the veracity and velocity properties of big data, as ...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2016.03.002

    authors： Kumar M,Rath NK,Rath SK

    更新日期：2016-04-01 00:00:00

  • Comparison of reversible-jump Markov-chain-Monte-Carlo learning approach with other methods for missing enzyme identification.

    abstract：:Computational identification of missing enzymes plays a significant role in accurate and complete reconstruction of metabolic network for both newly sequenced and well-studied organisms. For a metabolic reaction, given a set of candidate enzymes identified according to certain biological evidences, a powerful mathemat...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2007.09.002

    authors： Geng B,Zhou X,Zhu J,Hung YS,Wong ST

    更新日期：2008-04-01 00:00:00

  • A tiered approach is more cost effective than traditional pharmacist-based review for classifying computer-detected signals as adverse drug events.

    abstract：OBJECTIVE:To develop a cost-efficient method for identifying adverse drug events (ADEs) and medication errors (MEs) identified using outpatient electronic medical records within ambulatory settings. DESIGN:Comparison of sensitivity and cost of "traditional" pharmacist based approach to identifying ADEs and MEs during ...

    journal_title：Journal of biomedical informatics

    pub_type： 临床试验,杂志文章,多中心研究

    doi：10.1016/s1532-0464(03)00059-5

    authors： Hope C,Overhage JM,Seger A,Teal E,Mills V,Fiskio J,Gandhi TK,Bates DW,Murray MD

    更新日期：2003-02-01 00:00:00

  • GLIF3: a representation format for sharable computer-interpretable clinical practice guidelines.

    abstract：:The Guideline Interchange Format (GLIF) is a model for representation of sharable computer-interpretable guidelines. The current version of GLIF (GLIF3) is a substantial update and enhancement of the model since the previous version (GLIF2). GLIF3 enables encoding of a guideline at three levels: a conceptual flowchart...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2004.04.002

    authors： Boxwala AA,Peleg M,Tu S,Ogunyemi O,Zeng QT,Wang D,Patel VL,Greenes RA,Shortliffe EH

    更新日期：2004-06-01 00:00:00

  • glUCModel: a monitoring and modeling system for chronic diseases applied to diabetes.

    abstract：:Chronic patients must carry out a rigorous control of diverse factors in their lives. Diet, sport activity, medical analysis or blood glucose levels are some of them. This is a hard task, because some of these controls are performed very often, for instance some diabetics measure their glucose levels several times eve...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2013.12.015

    authors： Hidalgo JI,Maqueda E,Risco-Martín JL,Cuesta-Infante A,Colmenar JM,Nobel J

    更新日期：2014-04-01 00:00:00

  • Unsupervised ensemble ranking of terms in electronic health record notes based on their importance to patients.

    abstract：BACKGROUND:Allowing patients to access their own electronic health record (EHR) notes through online patient portals has the potential to improve patient-centered care. However, EHR notes contain abundant medical jargon that can be difficult for patients to comprehend. One way to help patients is to reduce information ...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2017.02.016

    authors： Chen J,Yu H

    更新日期：2017-04-01 00:00:00

  • Understanding infusion administration in the ICU through Distributed Cognition.

    abstract：:To understand how healthcare technologies are used in practice and evaluate them, researchers have argued for adopting the theoretical framework of Distributed Cognition (DC). This paper describes the methods and results of a study in which a DC methodology, Distributed Cognition for Teamwork (DiCoT), was applied to s...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2012.02.003

    authors： Rajkomar A,Blandford A

    更新日期：2012-06-01 00:00:00

  • Task definition, annotated dataset, and supervised natural language processing models for symptom extraction from unstructured clinical notes.

    abstract：INTRODUCTION:Machine learning (ML) and natural language processing have great potential to improve information extraction (IE) within electronic medical records (EMRs) for a wide variety of clinical search and summarization tools. Despite ML advancements, clinical adoption of real time IE tools for patient care remains...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2019.103354

    authors： Steinkamp JM,Bala W,Sharma A,Kantrowitz JJ

    更新日期：2020-02-01 00:00:00

  • MorphoCol: An ontology-based knowledgebase for the characterisation of clinically significant bacterial colony morphologies.

    abstract：BACKGROUND:One of the major concerns of the biomedical community is the increasing prevalence of antimicrobial resistant microorganisms. Recent findings show that the diversification of colony morphology may be indicative of the expression of virulence factors and increased resistance to antibiotic therapeutics. To tra...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2015.03.007

    authors： Sousa AM,Pereira MO,Lourenço A

    更新日期：2015-06-01 00:00:00

  • Categorizing the world of registries.

    abstract：:The term registry is widely used to refer to any database storing clinical information collected as a byproduct of patient care. Despite the use of this single characterizing term (registry), these databases exist in various forms and support functions ranging from biomedical informatics and clinical research, to publ...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2008.01.009

    authors： Drolet BC,Johnson KB

    更新日期：2008-12-01 00:00:00

  • The development and validation of a simulation tool for health policy decision making.

    abstract：:Computer simulations have been used to model infectious diseases to examine the outcomes of alternative strategies for managing their spread. Methicillin resistant Staphylococcus aureus (MRSA) skin and soft tissue infections have become prominent in many communities and efforts are underway to reduce the spread of thi...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2010.03.013

    authors： Panchanathan SS,Petitti DB,Fridsma DB

    更新日期：2010-08-01 00:00:00

  • Algorithms for rapid outbreak detection: a research synthesis.

    abstract：:The threat of bioterrorism has stimulated interest in enhancing public health surveillance to detect disease outbreaks more rapidly than is currently possible. To advance research on improving the timeliness of outbreak detection, the Defense Advanced Research Project Agency sponsored the Bio-event Advanced Leading In...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2004.11.007

    authors： Buckeridge DL,Burkom H,Campbell M,Hogan WR,Moore AW

    更新日期：2005-04-01 00:00:00

  • A Health Surveillance Software Framework to deliver information on preventive healthcare strategies.

    abstract：:A software framework can reduce costs related to the development of an application because it allows developers to reuse both design and code. Recently, companies and research groups have announced that they have been employing health software frameworks. This paper presents the design, proof-of-concept implementation...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2016.06.002

    authors： Macedo AA,Pollettini JT,Baranauskas JA,Chaves JC

    更新日期：2016-08-01 00:00:00

  • Modeling association detection in order to discover compounds to inhibit oral cancer.

    abstract：:In the past, algorithms exploiting varying semantics in interactions between biological objects such as genes and diseases have been used in bioinformatics to uncover latent relationships within biological datasets. In this paper, we consider the algorithm Medusa in parallel with binary classification in order to find...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2018.07.005

    authors： Vittal S,Karthikeyan G

    更新日期：2018-08-01 00:00:00

  • Multi-faceted informatics system for digitising and streamlining the reablement care model.

    abstract：:Reablement is new paradigm to increase independence in the home amongst the ageing population. And it remains a challenge to design an optimal electronic system to streamline and integrate reablement into current healthcare infrastructure. Furthermore, given reablement requires collaboration with a range of organisati...

    journal_title：Journal of biomedical informatics

    pub_type： 杂志文章

    doi：10.1016/j.jbi.2015.05.008

    authors： Bond RR,Mulvenna MD,Finlay DD,Martin S

    更新日期：2015-08-01 00:00:00