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Development and validation of a machine learning model for accurate detection of wrong blood in tube errors in hospitalized patients.

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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
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  Data: <searchLink fieldCode="JN" term="%22Clinical+Chemistry+%26+Laboratory+Medicine%22">Clinical Chemistry & Laboratory Medicine</searchLink>. Feb2026, Vol. 64 Issue 3, p617-629. 13p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=191293895
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        Value: 10.1515/cclm-2025-0564
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        Text: English
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              Text: Feb2026
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              Y: 2026
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