Ahmed Abu Halimeh
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Researcher
Also affiliated: American University of the Middle East (2017–2018)
Unknown Researcher
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Ahmed Abu Halimeh's research focuses on the application of artificial intelligence and data analysis techniques to healthcare challenges. His work includes developing and evaluating unsupervised learning methods, such as spectral clustering and Shannon entropy, for data curation and analysis within a "data washing machine" framework. He has explored the integration of artificial intelligence, wearables, and remote monitoring for applications in heart failure management. Additionally, Abu Halimeh has investigated data quality challenges within blockchain technology for healthcare applications.
He holds an h-index of 4 with 108 citations across 9 publications. Abu Halimeh collaborates with researchers from the University of Arkansas at Fayetteville and the University of Arkansas for Medical Sciences, including Ukash Nakarmi, K Sivakumar, Subhi J. Al’Aref, and Munthir Mansour.
Metrics
- h-index: 4
- Publications: 9
- Citations: 109
Selected Publications
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Enhancing data curation with spectral clustering and Shannon entropy: An unsupervised approach within the data washing machine (2024)
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Exploring other clustering methods and the role of Shannon Entropy in an unsupervised setting (2024)
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Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications (2022)
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Comprehensive Review for Healthcare Data Quality Challenges in Blockchain Technology (2022)
Collaboration Network
Top Collaborators
- Exploring other clustering methods and the role of Shannon Entropy in an unsupervised setting
- Enhancing data curation with spectral clustering and Shannon entropy: An unsupervised approach within the data washing machine
- Comprehensive Review for Healthcare Data Quality Challenges in Blockchain Technology
- Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications
- Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications
- Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications
- Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications
- Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications
- Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications
- Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications
- Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications
- Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications
- Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications
- Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications
- Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications
- Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications
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