Development and validation of a machine learning model for accurate detection of wrong blood in tube errors in hospitalized patients.
Saved in:
| Title: | Development and validation of a machine learning model for accurate detection of wrong blood in tube errors in hospitalized patients. |
|---|---|
| Authors: | Tortosa-Carreres, Jordi1 (AUTHOR) jorditc95@outlook.com, Vañó-Bellver, Ana1 (AUTHOR), Martínez-Cerezuela, Andreu1 (AUTHOR) andreumartinezcerezuela@outlook.com, Fuster-Lluch, Óscar1 (AUTHOR), García-Ruiz, Lucía1 (AUTHOR), Rodríguez-Romero, Elena1 (AUTHOR), Sierra-Rivera, Antonio2 (AUTHOR), Comes-Raga, Ana3 (AUTHOR), Cátedra, Carlos1 (AUTHOR), Tadeo-Garisto, Virginia1 (AUTHOR), Igumnova-Dubovikova, Alexandra1 (AUTHOR), Gisbert-Criado, Rafael3 (AUTHOR), Sahuquillo-Frias, Laura2 (AUTHOR), Laiz-Marro, Begoña1 (AUTHOR) |
| Source: | Clinical Chemistry & Laboratory Medicine. Feb2026, Vol. 64 Issue 3, p617-629. 13p. |
| Database: | Academic Search Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 14346621 |
|---|---|
| DOI: | 10.1515/cclm-2025-0564 |
