id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-6284	Raja Navaneeth Mourya Talluri	AI-Powered Data Quality Validation Framework for Real-World Healthcare Pipelines	2025	12	.pdf	application/pdf	4382	252	40	Similar to most cases, traditional data quality validation techniques have been data quality validation systems that are usually rule- based, or manual audits, which are unable to be scaled with the size and complexity of healthcare data [2]. The results confirm the hypothesis that AI-based approaches will be more effective in relation to rule-based systems in various aspects of healthcare data quality validation: accuracy, speed, context-awareness, and scalability.	cache/cana-6284.pdf	txt/cana-6284.txt