A robust prioritization framework of data quality dimensions to improve ML-driven healthcare systems using AHP and sensitivity analysis
The success of Machine Learning (ML) models in healthcare relies heavily on the quality of data used. High-quality data are crucial for improving the predictive capabilities and the overall performance of ML systems. Despite this, research on data quality in healthcare and ML remains limited, with v...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Institute of Electrical and Electronics Engineers
2025
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| Online Access: | http://psasir.upm.edu.my/id/eprint/121518/1/121518.pdf http://psasir.upm.edu.my/id/eprint/121518/ https://ieeexplore.ieee.org/document/11131122/ |
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