Symptom-Based Lung Cancer Prediction Using Ensemble Learning with Threshold Optimization and Interpretability

Lung cancer can be discovered at an early stage to enhance patient survival. However, existing screening tools are both resource-intensive and inaccessible in low-resource countries. This paper introduces a machine learning model that uses an ensemble approach to predict lung cancer from a survey-ba...

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Autor principal:	Yousuf Al Husaini
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2026-02-01
Col·lecció:	Information
Matèries:	lung cancer prediction machine learning ensemble learning class imbalance decision threshold optimization risk stratification
Accés en línia:	https://www.mdpi.com/2078-2489/17/2/172
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