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[PDF] Top 20 De-identification of Data using Pseudonyms (Pseudonymisation) Policy

Has 10000 "De-identification of Data using Pseudonyms (Pseudonymisation) Policy" found on our website. Below are the top 20 most common "De-identification of Data using Pseudonyms (Pseudonymisation) Policy".

De-identification of Data using Pseudonyms (Pseudonymisation) Policy

De-identification of Data using Pseudonyms (Pseudonymisation) Policy

... Health policy within Adult Social Care as well as in the NHS; its use is being supported by the NHS Number ...sourced data becoming available to social care ...personal data in social care is ... See full document

7

Deep Learning Architecture for Patient Data De identification in Clinical Records

Deep Learning Architecture for Patient Data De identification in Clinical Records

... In this paper we present a deep neural network based approach for patient data de-identification. This has been designed to identify and classify Protected Health Information (PHI) present in ... See full document

10

Proficient proposal of de-identification policies using big data P.

Proficient proposal of de-identification policies using big data P.

... Many data owners are required to release variety of data in real world application it has vital importance of discovery valuable information stay behind the ...the de- identification ... See full document

7

Closed-loop identification using quantized data

Closed-loop identification using quantized data

... subspace identification were used for the identification of the controller model and process model from operating ...operating data is more accurate when the identified models are closer to the ... See full document

216

Use of Multi Temporal Satellite Data for Crop Identification and Monitoring

Use of Multi Temporal Satellite Data for Crop Identification and Monitoring

... for identification of wheat using spectral profile created using multi date satellite data and two stage classification ...in identification of the particular crop and pin-pointing such ... See full document

9

Monetary Policy and Identification in SVAR Models: A Data Oriented Perspective

Monetary Policy and Identification in SVAR Models: A Data Oriented Perspective

... Monetary Policy and Identification in SVAR Models: A Data Oriented Perspective Fragetta, Matteo University of Salerno.[r] ... See full document

9

Aggression Identification Using Deep Learning and Data Augmentation

Aggression Identification Using Deep Learning and Data Augmentation

... This system description paper presents our submission to the First Shared Task on Aggression Identification. We propose to augment the provided dataset to increase the number of labeled comments from 15,000 to ... See full document

9

Using Unlabeled Data to Improve Author Identification

Using Unlabeled Data to Improve Author Identification

... Abstract—Authorship attribution may be considered as a text categorization problem. Text categorization requires a large number of training examples which are particularly difficult to obtain in the case of authorship ... See full document

5

Efficient and effective pruning strategies for health data de-identification

Efficient and effective pruning strategies for health data de-identification

... of de-identification are covered by national and international laws and regulations, such as the US Health Insurance Portability and Accountability Act (HIPAA) [2], and the European Directive on Data ... See full document

14

Using grouped smart meter data in phase identification

Using grouped smart meter data in phase identification

... phase identification techniques discussed in Section 2 could then be employed to determine the phasing breakdown in the mixed ...substation data and the customers’ smart meter data can be achieved if ... See full document

28

K Anonymization using Multidimensional Suppression for Data De identification

K Anonymization using Multidimensional Suppression for Data De identification

... indirect identification of records from public ...whose data also appears in the dataset ...released data in the dataset does not exceed 1/k. The term data refers to person-specific ... See full document

5

Identification of monetary policy in SVAR models: A data-oriented perspective

Identification of monetary policy in SVAR models: A data-oriented perspective

... literature using short-run timing restrictions to identify monetary policy shocks in vector-autoregressions (VAR) there is a debate on whether (i) contemporaneous real activity and prices or (ii) only ... See full document

20

Using Data Mining Techniques for Sentiment Shifter Identification

Using Data Mining Techniques for Sentiment Shifter Identification

... shifter identification (Figure 1): a baseline method, where each appearance of valence shifters inverts the polarity of text, NegEx algorithm (Chapman et ...2001), using a window of fixed size (Huang et ... See full document

5

De-Identification of Emails: Pseudonymizing Privacy-Sensitive Data in a German Email Corpus

De-Identification of Emails: Pseudonymizing Privacy-Sensitive Data in a German Email Corpus

... In contrast to person names, we consider deriva- tions of locations and implemented rules for signi- fying inhabitants (‘die Klagenfurterin’) and adjec- tivized toponyms ending on ‘-(i)sch/-erisch/-er’ (‘k¨arntnerisch’ ... See full document

11

Health IT Policy Committee September 18, Models for Data Storage & Exchange, Aggregate Data, De identification/ Re identification

Health IT Policy Committee September 18, Models for Data Storage & Exchange, Aggregate Data, De identification/ Re identification

... Health Information Technology (IT) has great potential to improve health and health care if we focus on two clear goals: (1) unleashing the potential of networked information to achieve[r] ... See full document

8

i2b2 Clinical Research Chart

i2b2 Clinical Research Chart

... Data Repository (CRC) File Repository Identity Management Ontology Management Correlation Analysis De - Identification Of data Natural Language Processing Annotating Genomic Data #1 Proj[r] ... See full document

33

A generic solution for web-based management of pseudonymized data

A generic solution for web-based management of pseudonymized data

... General Data Protec- tion Regulation of the Council of the European Union [9] is: “personal data may be processed for […] scientific re- search purposes only if […] data enabling the attribution of ... See full document

19

SuperTranscripts: a data driven reference for analysis and visualisation of transcriptomes

SuperTranscripts: a data driven reference for analysis and visualisation of transcriptomes

... superTranscriptome using a splice aware aligner and subsequently visualised using standard tools such as IGV ...demonstrate using superTranscripts to call vari- ants and we show that we can ... See full document

10

Improving the use of research evidence in guideline development: 6. Determining which outcomes are important

Improving the use of research evidence in guideline development: 6. Determining which outcomes are important

... outcome identification and ranking. We also searched PubMed using (guideline OR policy making) and (identification) and (outcomes) as search terms (MESH headings/keywords) for systematic ... See full document

6

On  Transaction  Pseudonyms  with  Implicit  Attributes

On Transaction Pseudonyms with Implicit Attributes

... personal data in computing systems. Thus, pseudonyms can allow balanc- ing conflicting accountability and privacy requirements to some ...By using the identifier-to-pseudonym-mapping [10], a ... See full document

18

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