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Large language model vs. traditional machine learning: Evaluating predictive models for early detection of tumor relapse.

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Title: Large language model vs. traditional machine learning: Evaluating predictive models for early detection of tumor relapse.
Authors: Timilsina, Mohan1, mohan.timilsina@insight-centre.org, Buosi, Samuele1, samuele.buosi@insight-centre.org, Torrente, Maria2, Provencio, Mariano2, mariano.provencio@salud.madrid.org, Cobo, Manuel3, manuelcobodols@yahoo.es, Rodrıguez Abreu, Delvys4, drodabr@gobiernodecanarias.org, López Castro, Rafael5, rafalopezcastro@yahoo.es, Carcereny, Enric6, ecarcereny@iconcologia.net, Curry, Edward1, edward.curry@insight-centre.org, Nováček, Vít1,7,8, vit.novacek@insight-centre.org
Source: Expert Systems with Applications; Jul2025, Vol. 283, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 185443527
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=185443527
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        Value: 10.1016/j.eswa.2025.127641
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        Text: English
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      – TitleFull: Large language model vs. traditional machine learning: Evaluating predictive models for early detection of tumor relapse.
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            – D: 15
              M: 07
              Text: Jul2025
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              Y: 2025
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