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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Bibliographic Details

Main Authors:	Al-Hgaish, Areen Metib, Atan, Rodziah, Yaakob, Razali, Osman, Mohd Hafeez
Format:	Article
Language:	en
Published:	Institute of Electrical and Electronics Engineers 2025
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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