Michael Magreola
Researcher
Graduate Student Researcher
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Michael Magreola's research focuses on the intersection of technology and healthcare, specifically in the development of diagnostic tools and the optimization of information systems. His recent work includes the "Implementing decision support tool for low-back pain diagnosis and prediction based on the range of motions," published in 2024. This publication highlights his interest in applying computational methods to clinical challenges. Additionally, Magreola has investigated "Refining Blockchain-Powered Industrial Internet-of-Things Architecture for Improved Performance" (2023), demonstrating a broader engagement with advanced technological architectures and their practical applications. His academic contributions, while limited in number, indicate a trajectory towards utilizing technology for enhancing diagnostic accuracy and system efficiency.
Metrics
- h-index: 1
- Publications: 2
- Citations: 2
Selected Publications
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Implementing decision support tool for low-back pain diagnosis and prediction based on the range of motions (2024)
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Refining Blockchain-Powered Industrial Internet-of-Things Architecture for Improved Performance (2023)
Collaboration Network
Top Collaborators
- Implementing decision support tool for low-back pain diagnosis and prediction based on the range of motions
- Refining Blockchain-Powered Industrial Internet-of-Things Architecture for Improved Performance
- Implementing decision support tool for low-back pain diagnosis and prediction based on the range of motions
- Refining Blockchain-Powered Industrial Internet-of-Things Architecture for Improved Performance
- Refining Blockchain-Powered Industrial Internet-of-Things Architecture for Improved Performance
- Implementing decision support tool for low-back pain diagnosis and prediction based on the range of motions
- Implementing decision support tool for low-back pain diagnosis and prediction based on the range of motions
- Implementing decision support tool for low-back pain diagnosis and prediction based on the range of motions
- Implementing decision support tool for low-back pain diagnosis and prediction based on the range of motions
- Implementing decision support tool for low-back pain diagnosis and prediction based on the range of motions
- Implementing decision support tool for low-back pain diagnosis and prediction based on the range of motions
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