A New Strategy for Evaluating the Quality of Laboratory Results for Big Data Research: Using External Quality Assessment Survey Data (2010-2020).

Eun-Jung Cho Tae-Dong Jeong Sollip Kim Hyung-Doo Park Yeo Min Yun Sail Chun Won-Ki Min

Published in: Annals of laboratory medicine (2023)

The acceptance rate of participants and their external quality assessment (EQA) results exhibited statistically significant differences according to the quality grade for each criterion. Even when they passed the EQA standards, the test results did not guarantee the quality requirements for big data. We suggest that the KEQAS classification can serve as a guide for building big data.

Keyphrases

big data
machine learning
artificial intelligence
deep learning
quality improvement