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Evaluation of Classical and Ensemble Machine Learning Algorithms for Thyroid Cancer Diagnosis: A Comparative Evaluation

2025-07-17

Abstract excerpt

Thyroid cancer is a growing global health concern, necessitating reliable and accurate diagnostic tools to support early detection and clinical decision-making. This study aims to develop and implement classical and ensemble machine learning models based on clinical, demographic, and biochemical data to predict thyroid cancer risk. Pearson correlation analysis was employed to identify and select the most relevant...

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Literature Corpus work
521f7e7a-a441-5389-89c8-1272cbc94c1d
DOI
10.20944/preprints202507.1436.v1
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Evaluation of Classical and Ensemble Machine Learning Algorithms for Thyroid Cancer Diagnosis: A Comparative EvaluationDOI 10.20944/preprints202507.1436.v1
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