Recurrence prediction of lung adenocarcinoma using an immune gene expression and clinical data trained and validated support vector machine classifier

BACKGROUND: Immune microenvironment plays a critical role in cancer from onset to relapse. Machine learning (ML) algorithm can facilitate the analysis of lab and clinical data to predict lung cancer recurrence. Prompt detection and intervention are crucial for long-term survival in lung cancer relap...

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Detalles Bibliográficos
Autores principales: Shen, Yingran, Goparaju, Chandra, Yang, Yang, Babu, Benson A., Gai, Weiming, Pass, Harvey, Jiang, Gening
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654435/
https://www.ncbi.nlm.nih.gov/pubmed/38025809
http://dx.doi.org/10.21037/tlcr-23-473

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654435/
https://www.ncbi.nlm.nih.gov/pubmed/38025809
http://dx.doi.org/10.21037/tlcr-23-473

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