Results 1 to 10 of about 23,858,252 (284)
Data Provenance in Healthcare: Approaches, Challenges, and Future Directions [PDF]
Sensors, 2023 Data provenance means recording data origins and the history of data generation and processing. In healthcare, data provenance is one of the essential processes that make it possible to track the sources and reasons behind any problem with a user’s data.
Jungsuk Kim +2 more
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Comparative Analysis and Data Provenance for 1,113 Bacterial Genome Assemblies [PDF]
mSphere, 2022 The availability of public genomics data has become essential for modern life sciences research, yet the quality, traceability, and curation of these data have significant impacts on a broad range of microbial genomics research.
David A. Yarmosh +14 more
doaj +2 more sources
An auditable and source-verified framework for clinical AI decision support: integrating retrieval-augmented generation with data provenance [PDF]
Frontiers in Artificial IntelligenceArtificial intelligence (AI) has shown promise in supporting clinical decision making, yet adoption in healthcare remains limited by concerns regarding transparency, verifiability, and accountability of AI-generated recommendations.
Fidelis Fidelis Alu, Sunkanmi Oluwadare
doaj +2 more sources
Using Introspection to Collect Provenance in R
Informatics, 2018 Data provenance is the history of an item of data from the point of its creation to its present state. It can support science by improving understanding of and confidence in data. RDataTracker is an R package that collects data provenance from R scripts (
Barbara Lerner
exaly +3 more sources
Assessing the harmonization of structured electronic health record data to reference terminologies and data completeness through data provenance [PDF]
Learning Health SystemsIntroduction (1) Assess the harmonization of structured electronic health record data (laboratory results and medications) to reference terminologies and characterize the severity of issues.
Keith Marsolo +14 more
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Applied Sciences, 2022 Data provenance is information about where data come from (provenance data) and how they transform (provenance transformation). Data provenance is widely used to evaluate data quality, trace errors, audit data, and understand references among data ...
Deyou Tang +4 more
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A Data Provenance Sanitization Mechanism for High Utility [PDF]
Jisuanji gongcheng, 2018 To improve the low provenance utility provided by existed provenance sanitization mechanisms,a data provenance sanitization mechanism is proposed.PROV-DM model is extended to generalize the dependencies into uncertain dependencies.The rationality of ...
WANG Yixing,SUN Lianshan,SHI Libo
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Hyperledger Fabric Blockchain for Securing the Edge Internet of Things
Sensors, 2021 Providing security and privacy to the Internet of Things (IoT) networks while achieving it with minimum performance requirements is an open research challenge.
Houshyar Honar Pajooh +3 more
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TruMuzic: A Deep Learning and Data Provenance-Based Approach to Evaluating the Authenticity of Music
Applied Sciences, 2023 The digitalization of music has led to increased availability of music globally, and this spread has further raised the possibility of plagiarism. Numerous methods have been proposed to analyze the similarity between two pieces of music.
Kuldeep Gurjar +2 more
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Frontiers in Genetics, 2022 Currently, most of the personal health data (PHD) are managed and stored separately by individual medical institutions. When these data need to be shared, they must be transferred to a trusted management center and approved by data owners through the ...
Liangxiao Ma +8 more
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