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Biomedical data

An Adaptive Biomedical Data Managing Scheme Based on Blockchain Technique Ahmed Faeq Hussein 1, *, Abbas K. ALZubaidi 2,Qais Ahmed Habash1 ,and Mustafa Musa Jaber 3

An Adaptive Biomedical Data Managing Scheme Based on Blockchain Technique Ahmed Faeq Hussein 1, *, Abbas K. ALZubaidi 2,Qais Ahmed Habash1 ,and Mustafa Musa Jaber 3

... a biomedical data is ...various data types contributes to reduce the overall system costs and improve searching and processing time as ...history biomedical records to enhance ...

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Multimodal compression applied to biomedical data

Multimodal compression applied to biomedical data

... Compression of biomedical data becomes nowadays a very important process in some applications such as telemedicine. For this purpose, many specific encoders have been proposed in the literature to deal with ...

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ADI-Minebio: A Graph Mining Algorithm for Biomedical Data

ADI-Minebio: A Graph Mining Algorithm for Biomedical Data

... mining biomedical data arose from a need of medical experts from the Medical Faculty of Ribeirão Preto from the University of São Paulo, which investigate the Sickle Cell Anemia (SCA) and its related ...in ...

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An inference method from multi-layered structure of biomedical data

An inference method from multi-layered structure of biomedical data

... To test the proposed algorithm, it was applied to two- layered system of symptoms and diseases to predict disease co-occurrence. The results showed improvement in prediction in terms of AUC where the performance ...

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BiCluE   Exact and heuristic algorithms for weighted bi cluster editing of biomedical data

BiCluE Exact and heuristic algorithms for weighted bi cluster editing of biomedical data

... GWAS data set and were capable of dealing with all of the 415 problem instances but two, which have been too large (> 3,500 ...GWAS data as an intuitive real-world example for data that can be ...

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MINING OF BIOMEDICAL DATA: AN

MINING OF BIOMEDICAL DATA: AN

... for biomedical text mining is present in the ...of biomedical textual annotations scattered in distinct ...of biomedical domain examples are SNOMED, SNOMED III, SNOMED- RT, MeSH ...the ...

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RDFIO: extending Semantic MediaWiki for interoperable biomedical data management

RDFIO: extending Semantic MediaWiki for interoperable biomedical data management

... RDF data can be retrieved from a set of different sources, as well as being exported ...indicate data going into (being imported into) the wiki, while blue arrows indicate data going out of (being ...

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BicPAM: Pattern-based biclustering for biomedical data analysis

BicPAM: Pattern-based biclustering for biomedical data analysis

... real data, we compared the biological significance of BicPAM’s solu- tions against state-of-the-art biclustering solutions using three distinct gene expression datasets [74,75]: 1) dlblc dataset (660 genes, 180 ...

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Supervised Machine Learning for Extractive Query Based Summarisation of Biomedical Data

Supervised Machine Learning for Extractive Query Based Summarisation of Biomedical Data

... We utilised a biomedical corpus provided by the BioASQ Challenge 1 . The BioASQ Challenge or- ganises shared tasks on aspects related to biomed- ical semantic indexing and question answering (Tsatsaronis et al., ...

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The RICORDO approach to semantic interoperability for biomedical data and models: strategy, standards and solutions

The RICORDO approach to semantic interoperability for biomedical data and models: strategy, standards and solutions

... A complementary set of tools is required to support annotation authoring, storage and querying. Authoring tools are required by users in the community to effect annotations on the DMRs they generate - such tools could be ...

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Detecting glaucoma in biomedical data using image processing

Detecting glaucoma in biomedical data using image processing

... The data of the entire image is used and hence the final classification is not to be affected by the location of the center of the optic disc in the ...dimensional data on the whole region covered by the ...

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Linked vaccine adverse event data from VAERS for biomedical data analysis and longitudinal studies

Linked vaccine adverse event data from VAERS for biomedical data analysis and longitudinal studies

... VAERS data was downloaded from the reporting system’s website (http:// ...database: Data, Vaccine, and Symptom. The Data table contains information including VAERS ID, date the report was received, ...

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Sharing big biomedical data

Sharing big biomedical data

... the data has legal and practical connotations. For the purposes of data sharing policies, owners may be the acquirers of the data, or project leaders or even ...primary data can be declared ...

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Ownership protection of outsourced biomedical time series data based on optimal watermarking scheme in data mining

Ownership protection of outsourced biomedical time series data based on optimal watermarking scheme in data mining

... the biomedical and healthcare fields, the ownership protection of the outsourced data is becoming a challenging issue in sharing the data between data owners and data mining experts to ...

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Developing a healthcare dataset information resource (DIR) based on Semantic Web

Developing a healthcare dataset information resource (DIR) based on Semantic Web

... Expanded Data Annotation and Retrieval (CEDAR) project in 2015 to facilitate researchers’ standard use of metadata by developing an authoring-friendly computa- tional ecosystem for metadata development, ...

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Generation of open biomedical datasets through ontology-driven transformation and integration processes

Generation of open biomedical datasets through ontology-driven transformation and integration processes

... to biomedical data The World Wide Web Consortium has developed a series of Semantic Web standards for exchanging data ...of data or to infer new ...tic data called triplestores and ...

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Data, tools and resources for mining social media drug chatter

Data, tools and resources for mining social media drug chatter

... Annotating biomedical data or social media data are challenging tasks and require expertise with the ...to biomedical data from social ...

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BioBroker: Knowledge Discovery Framework for Heterogeneous Biomedical Ontologies and Data

BioBroker: Knowledge Discovery Framework for Heterogeneous Biomedical Ontologies and Data

... of biomedical and scientific ...of biomedical data have been specified and shared via machine-readable formats, such as the Resource Description Framework (RDF) [4] and the Ontology Web Language ...

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Generation and application of drug indication inference models using typed network motif comparison analysis

Generation and application of drug indication inference models using typed network motif comparison analysis

... of biomedical data cover broad levels from the molecular level such as DNA or chemical, to the phenoty- pic level such as symptom or ...various data, and generate novel infor- mation from the merged ...

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Quantifying the economic impact of government and charity funding of medical research on private research and development funding in the United Kingdom

Quantifying the economic impact of government and charity funding of medical research on private research and development funding in the United Kingdom

... public biomedical and health ...public biomedical and health research in the UK would be 17 % (real, per ...public biomedical and health re- search would be expected to benefit the UK economy as a ...

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