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Felix Jan Michael Mucha 2024-07-03 09:29:32 +02:00
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@ -310,7 +310,7 @@ Ultimately, our research shows that the continued integration and improvement of
As data science advances, there are several opportunities to improve and extend current research on cardiovascular disease analysis using ECG data. As data science advances, there are several opportunities to improve and extend current research on cardiovascular disease analysis using ECG data.
Key future directions include: Key future directions include:
- Advanced machine learning techniques: Incorporating more machine learning methods such as deep learning could improve the accuracy and reliability of cardiovascular disease diagnosis. - Advanced machine learning techniques: Incorporating more machine learning models could improve the accuracy and reliability of cardiovascular disease diagnosis.
- 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. - 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.