Predicting Stroke Through Health Data Analysis and Stacking Integration Algorithm

Stroke is the second leading cause of death worldwide and a significant contributor to the global burden of disability. This study aims to analyze health data from community residents using ensemble learning algorithms to screen for early stroke symptoms, enhancing the reliability and accuracy of pr...

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Veröffentlicht in:	2025 5th International Conference on Consumer Electronics and Computer Engineering (ICCECE) S. 1 - 5
Hauptverfasser:	Wang, Yi, Shang, Xinping, Dong, A'ni, Zhang, Chulan
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 28.02.2025
Schlagworte:	Accuracy Boosting boosting decision tree Decision trees integration method Machine learning algorithms Prediction algorithms Predictive models Prevention and mitigation Reliability Stacking stacking techniques Stroke (medical condition) stroke prediction
Online-Zugang:	Volltext
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