Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Construction of a diagnostic model for nasopharyngeal carcinoma using a consensus machine learning approach and study of immune infiltration characteristics

Saved in:
Bibliographic Details
Published in:Discover Oncology
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1868553971933642754
collection WordPress RSS
FRELIP Feed Integration
container_title Discover Oncology
description
discipline_display Endocrinology
discipline_facet Endocrinology
format Online Article
RSS Article
genre Journal Article
id rss_article:92440
institution FRELIP
journal_source_facet Discover Oncology
last_indexed 2026-06-20T21:45:31.151Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Construction of a diagnostic model for nasopharyngeal carcinoma using a consensus machine learning approach and study of immune infiltration characteristics
Endocrinology
General
Endocrinology
sub_discipline_display General
sub_discipline_facet General
subject_display Endocrinology
General
Endocrinology
subject_facet Endocrinology
General
Endocrinology
title Construction of a diagnostic model for nasopharyngeal carcinoma using a consensus machine learning approach and study of immune infiltration characteristics
title_alt Construcción de un modelo diagnóstico para carcinoma nasofaríngeo mediante un enfoque de aprendizaje automático de consenso y estudio de las características de infiltración inmune
Construction d'un modèle diagnostique pour le carcinome nasopharyngé en utilisant une approche d'apprentissage automatique par consensus et étude des caractéristiques d'infiltration immunitaire
Construção de um modelo diagnóstico para carcinoma nasofaríngeo usando uma abordagem de aprendizado de máquina por consenso e estudo das características de infiltração imune
title_auth Construction of a diagnostic model for nasopharyngeal carcinoma using a consensus machine learning approach and study of immune infiltration characteristics
title_es_txt Construcción de un modelo diagnóstico para carcinoma nasofaríngeo mediante un enfoque de aprendizaje automático de consenso y estudio de las características de infiltración inmune
title_fr_txt Construction d'un modèle diagnostique pour le carcinome nasopharyngé en utilisant une approche d'apprentissage automatique par consensus et étude des caractéristiques d'infiltration immunitaire
title_full Construction of a diagnostic model for nasopharyngeal carcinoma using a consensus machine learning approach and study of immune infiltration characteristics
title_fullStr Construction of a diagnostic model for nasopharyngeal carcinoma using a consensus machine learning approach and study of immune infiltration characteristics
title_full_unstemmed Construction of a diagnostic model for nasopharyngeal carcinoma using a consensus machine learning approach and study of immune infiltration characteristics
title_pt_txt Construção de um modelo diagnóstico para carcinoma nasofaríngeo usando uma abordagem de aprendizado de máquina por consenso e estudo das características de infiltração imune
title_short Construction of a diagnostic model for nasopharyngeal carcinoma using a consensus machine learning approach and study of immune infiltration characteristics
title_sort construction of a diagnostic model for nasopharyngeal carcinoma using a consensus machine learning approach and study of immune infiltration characteristics
topic Endocrinology
General
Endocrinology
url https://link.springer.com/article/10.1007/s12672-026-05443-w