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Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
Published on: February 23, 2019
Use of cloud computing in biomedicine.
Vladimir Sobeslav1, Petra Maresova1, Ondrej Krejcar1
1a Faculty of Informatics and Management , University of Hradec Kralove , Rokitanského 62, Hradec Kralove 50003 , Czech Republic.
Cloud computing offers scalable solutions for processing large biomedical datasets in real time. This technology enhances information and communication technologies (ICT) in research, providing cost savings and flexibility.
Area of Science:
- Biomedicine
- Information and Communication Technologies (ICT)
Background:
- Modern biomedicine requires real-time processing of extensive datasets.
- This necessitates advanced information and communication technologies (ICT) solutions.
Purpose of the Study:
- To explore cloud computing concepts and their application in biomedicine.
- To analyze the implementation of cloud computing in biomedical research across different layers.
- To provide recommendations for processing large-scale biomedical data.
Main Methods:
- Description of cloud computing forms and technological solutions.
- Analysis of high-end computing paradigms within cloud computing.
- Discussion of current and potential applications in biomedical scientific research.
Main Results:
- Cloud computing addresses the need for real-time data processing in biomedicine.
- It offers advantages like cost savings, elasticity, and scalability for ICT.
- Comprehensive analysis covers infrastructure, platform, and service layers of cloud implementation.
Conclusions:
- Cloud computing is a viable and advantageous solution for biomedical data processing.
- The study provides a framework for implementing cloud technologies in biomedical research.
- Further exploration of applications can accelerate scientific discovery in biomedicine.
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