Development and evaluation of multi-strategy fusion machine learning models for predicting postoperative recurrence in non-small cell lung cancer

Abstract Background We developed multiple machine learning models using various fusion strategies to predict the risk of recurrence within three years post-surgery in non-small cell lung cancer (NSCLC) patients. Our aim was to enhance the accuracy of prognostic predictions and assess the differences...

Descripció completa

Dades bibliogràfiques

Autors principals:	Mingxuan Lu, Qi Dai, Hai Chen, Han Zhang, Jingfeng Zhang, Jianjun Zheng
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2026-04-01
Col·lecció:	BMC Medical Imaging
Matèries:	Non-small cell lung cancer Postoperative recurrence Fusion strategies Radiomics Machine learning
Accés en línia:	https://doi.org/10.1186/s12880-026-02328-w
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!