Results 261 to 270 of about 1,389,848 (316)
Real world challenges in maintaining data integrity in electronic health records in a cancer program. [PDF]
Tech Innov Patient Support Radiat OncolKhela H +6 more
europepmc +1 more source
FEBS Open Bio, EarlyView.The dual roles of CC and CXC chemokines in distinguishing active, latent, and subclinical tuberculosis were reviewed, along with an evaluation of their potential as diagnostic biomarkers and therapeutic targets to advance precision medicine in tuberculosis management. The graphical abstract was generated with AI assistance (Gemini 3.0).
Xuying Yin, Dangsheng Xiao, Jiezuan Yang
wiley +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
FEBS Open Bio, EarlyView.An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Combating Fraudulent Participation in Urban American Indian and Alaska Native Virtual Health Research: Protocol for Increasing Data Integrity in Online Research (PRIOR). [PDF]
JMIR Res ProtocReed ND +4 more
europepmc +1 more source
Assessing and Improving Data Integrity in Web-Based Surveys: Comparison of Fraud Detection Systems in a COVID-19 Study. [PDF]
JMIR Form ResBonett S +7 more
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
2013 IEEE 29th International Conference on Data Engineering (ICDE), 2013
The Big Data era is upon us: data is being generated, collected and analyzed at an unprecedented scale, and data-driven decision making is sweeping through society. Since the value of data explodes when it can be linked and fused with other data, addressing the big data integration (BDI) challenge is critical to realizing the promise of Big Data.
Xin Luna Dong, Divesh Srivastava
openaire +1 more source
The Big Data era is upon us: data is being generated, collected and analyzed at an unprecedented scale, and data-driven decision making is sweeping through society. Since the value of data explodes when it can be linked and fused with other data, addressing the big data integration (BDI) challenge is critical to realizing the promise of Big Data.
Xin Luna Dong, Divesh Srivastava
openaire +1 more source
Abstraction in Data Integration
2021 36th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS), 2021Data integration provides a unified and abstract view over a set of existing data sources. The typical architecture of a data integration system comprises the global schema, which is the structure for the unified view, the source schema, and the mapping, which is a formal account of how data at the sources relate to the global view.
Cima G. +3 more
openaire +1 more source
Proceedings of the 2021 International Conference on Management of Data, 2021
We are witnessing the widespread adoption of deep learning techniques as avant-garde solutions to different computational problems in recent years. In data integration, the use of deep learning techniques has helped establish several state-of-the-art results in long standing problems, including information extraction, entity matching, data cleaning ...
openaire +1 more source
We are witnessing the widespread adoption of deep learning techniques as avant-garde solutions to different computational problems in recent years. In data integration, the use of deep learning techniques has helped establish several state-of-the-art results in long standing problems, including information extraction, entity matching, data cleaning ...
openaire +1 more source