Clinical notes classification system for automated identification of diabetic patients: Hybrid approach integrating rules, information extraction and machine learning.

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Title: Clinical notes classification system for automated identification of diabetic patients: Hybrid approach integrating rules, information extraction and machine learning.
Authors: Zavala-Díaz, Jonathan1 (AUTHOR), Olivares-Rojas, Juan C.1 (AUTHOR) juan.or@morelia.tecnm.mx, Gutiérrez-Gnecchi, José A.1 (AUTHOR), Téllez-Anguiano, Adriana C.1 (AUTHOR), Alcaraz-Chávez, J. Eduardo1 (AUTHOR), Reyes-Archundia, Enrique1 (AUTHOR)
Source: Journal of Intelligent & Fuzzy Systems. Feb2026, Vol. 50 Issue 2, p573-583. 11p.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Intelligent+%26+Fuzzy+Systems%22">Journal of Intelligent & Fuzzy Systems</searchLink>. Feb2026, Vol. 50 Issue 2, p573-583. 11p.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3233/JIFS-219375
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 573
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      – TitleFull: Clinical notes classification system for automated identification of diabetic patients: Hybrid approach integrating rules, information extraction and machine learning.
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            NameFull: Zavala-Díaz, Jonathan
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            NameFull: Olivares-Rojas, Juan C.
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            NameFull: Gutiérrez-Gnecchi, José A.
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            NameFull: Téllez-Anguiano, Adriana C.
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            NameFull: Alcaraz-Chávez, J. Eduardo
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              M: 02
              Text: Feb2026
              Type: published
              Y: 2026
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            – TitleFull: Journal of Intelligent & Fuzzy Systems
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