Cargando…
Novel artificial intelligence machine learning approaches to precisely predict survival and site-specific recurrence in cervical cancer: A multi-institutional study
BACKGROUND: Machine learning (ML) has been gradually integrated into oncologic research but seldom applied to predict cervical cancer (CC), and no model has been reported to predict survival and site-specific recurrence simultaneously. Thus, we aimed to develop ML models to predict survival and site...
Autores principales: | Guo, Chenyan, Wang, Jue, Wang, Yongming, Qu, Xinyu, Shi, Zhiwen, Meng, Yan, Qiu, Junjun, Hua, Keqin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Neoplasia Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7907920/ https://www.ncbi.nlm.nih.gov/pubmed/33618238 http://dx.doi.org/10.1016/j.tranon.2021.101032 |
Ejemplares similares
-
Identification of a novel six‐gene signature with potential prognostic and therapeutic value in cervical cancer
por: Qu, Xinyu, et al.
Publicado: (2021) -
A novel Silva pattern-based model for precisely predicting recurrence in intermediate-risk cervical adenocarcinoma patients
por: Guo, Chenyan, et al.
Publicado: (2022) -
Spatiotemporally deciphering the mysterious mechanism of persistent HPV‐induced malignant transition and immune remodelling from HPV‐infected normal cervix, precancer to cervical cancer: Integrating single‐cell RNA‐sequencing and spatial transcriptome
por: Guo, Chenyan, et al.
Publicado: (2023) -
Interactions of Indoleamine 2,3‐dioxygenase‐expressing LAMP3(+) dendritic cells with CD4(+) regulatory T cells and CD8(+) exhausted T cells: synergistically remodeling of the immunosuppressive microenvironment in cervical cancer and therapeutic implications
por: Qu, Xinyu, et al.
Publicado: (2023) -
Identification of clinical trait-related small RNA biomarkers with weighted gene co-expression network analysis for personalized medicine in endocervical adenocarcinoma
por: Shi, Zhiwen, et al.
Publicado: (2021)