Comprehensive Analysis of Clinical Logistic and Machine Learning-Based Models for the Evaluation of Pulmonary Nodules

INTRODUCTION: Over the years, multiple models have been developed for the evaluation of pulmonary nodules (PNs). This study aimed to comprehensively investigate clinical models for estimating the malignancy probability in patients with PNs. METHODS: PubMed, EMBASE, Cochrane Library, and Web of Scien...

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Detalles Bibliográficos
Autores principales: Zhang, Kai, Wei, Zihan, Nie, Yuntao, Shen, Haifeng, Wang, Xin, Wang, Jun, Yang, Fan, Chen, Kezhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8980995/
https://www.ncbi.nlm.nih.gov/pubmed/35392654
http://dx.doi.org/10.1016/j.jtocrr.2022.100299

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8980995/
https://www.ncbi.nlm.nih.gov/pubmed/35392654
http://dx.doi.org/10.1016/j.jtocrr.2022.100299

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