Nasution, Nurliana and Nasution, Feldiansyah and Erlin, Erlin and Hasan, Mhd (2024) Evaluation Study of the Chi-Square Method for Feature Selection in Stroke Prediction with Random Forest Regression. In: Proceedings of the 2nd International Conference on Environmental, Energy, and Earth Science, ICEEES 2023, 30 October 2023, Pekanbaru, Indonesia.
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Abstract
This study aims to develop a more accurate classification model for diagnosing Stroke cases based on various clinical features. Stroke is a serious global health issue, and early detection has a positive impact on prognosis and the prevention of complications. In this research, we combine two main a
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 17:32 |
| Last Modified: | 16 Apr 2026 23:50 |
| URI: | http://eprints.eai.eu/id/eprint/48763 |
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