Enhancing thyroid disease prediction and comorbidity management through advanced machine learning frameworks
Thyroid disease is one of the most prevalent endocrine disorders worldwide, necessitating precise and efficient diagnostic models for improved clinical outcomes. This study proposes a Hybrid Feature Selection and Deep Learning Framework (HFSDLF) that integrates Random Forests with Principal Componen...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2025-12-01
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| Series: | Clinical eHealth |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2588914125000024 |
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