Machine Learning-Based Sample Misidentification Error Detection in Clinical Laboratory Tests: A Retrospective Multicenter Study.
Background In clinical laboratories, the precision and sensitivity of autoverification technologies are crucial for ensuring reliable diagnostics. Conventional methods have limited sensitivity and applicability, making error detection challenging and reducing laboratory efficiency. This study introd...
| Publicado en: | Clinical Chemistry Vol. 70; no. 10; pp. 1256 - 1268 |
|---|---|
| Autores principales: | , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Oxford University Press / USA
Oct2024
|
| Acceso en línea: | Ver este registro en EBSCOhost |