Laboratory Data Quality Evaluation in the Big Data Era

참고문헌 (7)

1. Wang L, "Big data analytics in medical engineering and healthcare: methods, advances and challenges", J Med Eng Technol, 44, pp.267~283 (2020)
2. Jeong Tae-Dong, "Recent Trends in Creatinine Assays in Korea: Long-Term Accuracy-Based Proficiency Testing Survey Data by the Korean Association of External Quality Assessment Service (2011–2019)", Annals of Laboratory Medicine, 41(4), pp.372~379 (2021), 대한진단검사의학회[DOI]
3. Yoon Young Ahn, "Standardization Status of Total Cholesterol Concentration Measurement: Analysis of Korean External Quality Assessment Data", Annals of Laboratory Medicine, 41(4), pp.366~371 (2021), 대한진단검사의학회[DOI]
4. Nam Youngwon, "Periodic Comparability Verification and Within-Laboratory Harmonization of Clinical Chemistry Laboratory Results at a Large Healthcare Center With Multiple Instruments", Annals of Laboratory Medicine, 42(2), pp.150~159 (2022), 대한진단검사의학회[DOI]
5. Kim Sollip, "Proposed Model for Evaluating Real-world Laboratory Results for Big Data Research", Annals of Laboratory Medicine, 43(1), pp.104~107 (2023), 대한진단검사의학회[DOI]
6. Cho Eun-Jung, "A New Strategy for Evaluating the Quality of Laboratory Results for Big Data Research: Using External Quality Assessment Survey Data (2010–2020)", Annals of Laboratory Medicine, 43(5), pp.425~433 (2023), 대한진단검사의학회[DOI]
7. Kim Sollip, "Schemes and Performance Evaluation Criteria of Korean Association of External Quality Assessment (KEQAS) for Improving Laboratory Testing", Annals of Laboratory Medicine, 41(2), pp.230~239 (2021), 대한진단검사의학회[DOI]

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