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Cognitive Approaches for Medicine in Cloud Computing
Urszula Ogiela1, Makoto Takizawa2, Lidia Ogiela3
1Cryptography and Cognitive Informatics Research Group, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Krakow, Poland. ogiela@agh.edu.pl.
Journal of Medical Systems
|March 5, 2018
Summary
This study introduces cognitive methods for data interpretation and description, enhancing data security in cloud computing. These approaches are particularly beneficial for medical data analysis, ensuring safer cloud data management.
Area of Science:
- Computer Science
- Data Science
- Cognitive Science
Background:
- Traditional data interpretation methods in cloud computing lack robust security and advanced analytical capabilities.
- Medical data interpretation requires specialized, secure, and meaningful analytical approaches.
Purpose of the Study:
- To present the application potential of cognitive approaches for data interpretation, focusing on medical areas.
- To propose meaning-based approaches for data description and analysis within cloud computing environments.
- To develop algorithms for secure cognitive data management in cloud computing.
Main Methods:
- Application of cognitive data interpretation and meaning-based data description.
- Development of techniques for secure data management in cloud computing.
- Definition of algorithms for meaning data interpretation in safe cloud computing environments.
Main Results:
- Proposed cognitive methods for effective data description.
- Introduced techniques to enhance data security in cloud computing.
- Demonstrated the application of cognitive approaches in the medical domain.
Conclusions:
- Cognitive methods offer a promising approach to data interpretation and description.
- The proposed techniques enhance data security and management in cloud computing.
- Cognitive approaches have significant potential for secure medical data analysis in the cloud.
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