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Integration of Machine Learning Techniques in ECG-Based Multiclass Arrhythmia Classification with Explainability Analysis.

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Title: Integration of Machine Learning Techniques in ECG-Based Multiclass Arrhythmia Classification with Explainability Analysis.
Authors: Abdullah1,2, Fatima, Zulaikha2,3, Abadian, Abdollah1,3, quintero@cic.ipn.mx, Mejorada, Carlos Guzmán Sánchez1, su91-bmitm-f23-248@superior.edu.pk, Ruiz, Miguel Jesús Torres1, Téllez, Rolando Quintero1
Source: Biosensors (2079-6374); Jun2026, Vol. 16 Issue 6, p326, 33p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: Integration of Machine Learning Techniques in ECG-Based Multiclass Arrhythmia Classification with Explainability Analysis.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194909679
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        Value: 10.3390/bios16060326
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      – Code: eng
        Text: English
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        PageCount: 33
        StartPage: 326
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      – TitleFull: Integration of Machine Learning Techniques in ECG-Based Multiclass Arrhythmia Classification with Explainability Analysis.
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              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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