A model for enhancing pattern recognition in clinical narrative datasets through text-based feature selection and SHAP technique
Clinical narratives contain crucial patient information for predicting cardiac failure. Accurate and timely cardiac failure recognition (CFR) significantly impacts patient outcomes but faces challenges like limited dataset sizes, feature space sparsity, and underutilization of vital sign data. This...
| Main Authors: | Dalhatu, Sirajo Muhammad, Azmi Murad, Masrah Azrifah |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Politeknik Negeri Padang
2024
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/118176/ http://psasir.upm.edu.my/id/eprint/118176/1/118176.pdf |
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