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Testing the performance, adequacy, and applicability of an artificial intelligence model for pediatric pneumonia diagnosis.

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Title: Testing the performance, adequacy, and applicability of an artificial intelligence model for pediatric pneumonia diagnosis.
Authors: Domínguez-Rodríguez, Sara1, Liz-López, Helena2, Panizo-LLedot, Angel1,2, angel.panizo@upm.es, Ballesteros, Álvaro1, Dagan, Ron3, Greenberg, David3,4, Gutiérrez, Lourdes1, Rojo, Pablo1,5, Otheo, Enrique6, Galán, Juan Carlos7, Villanueva, Sara5, García, Sonsoles5, Mosquera, Pablo5, Tagarro, Alfredo1,8,9, Moraleda, Cinta1,5, Camacho, David2
Source: Computer Methods & Programs in Biomedicine; Dec2023, Vol. 242, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 173559855
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22Computer+Methods+%26+Programs+in+Biomedicine%22">Computer Methods & Programs in Biomedicine</searchLink>; Dec2023, Vol. 242, pN.PAG-N.PAG, 1p
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        Value: 10.1016/j.cmpb.2023.107765
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        Text: English
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              Text: Dec2023
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