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@ -310,7 +310,7 @@ Ultimately, our research shows that the continued integration and improvement of
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As data science advances, there are several opportunities to improve and extend current research on cardiovascular disease analysis using ECG data.
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As data science advances, there are several opportunities to improve and extend current research on cardiovascular disease analysis using ECG data.
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Key future directions include:
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Key future directions include:
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- Advanced machine learning techniques: Incorporating more machine learning methods such as deep learning could improve the accuracy and reliability of cardiovascular disease diagnosis.
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- Advanced machine learning techniques: Incorporating more machine learning models could improve the accuracy and reliability of cardiovascular disease diagnosis.
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- Expansion of features used: Future developments could include expanding the feature sets used. By adding new predictive features or enhancing existing features, the precision of the models could be further improved.
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- Expansion of features used: Future developments could include expanding the feature sets used. By adding new predictive features or enhancing existing features, the precision of the models could be further improved.
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