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Machine Learning–Based Survival Prediction Models for Young Patients With Gastric Cancer: Model Development and Validation Study

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Bibliographic Details
Published in:JMIR Cancer
Format: Online Article RSS Article
Published: 2026
Subjects:
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container_title JMIR Cancer
description
discipline_display Oncology
discipline_facet Oncology
format Online Article
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genre Journal Article
id rss_article:61221
institution FRELIP
journal_source_facet JMIR Cancer
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Machine Learning–Based Survival Prediction Models for Young Patients With Gastric Cancer: Model Development and Validation Study
Oncology
General
Oncology
sub_discipline_display General
sub_discipline_facet General
subject_display Oncology
General
Oncology
Oncology
General
Oncology
subject_facet Oncology
General
Oncology
title Machine Learning–Based Survival Prediction Models for Young Patients With Gastric Cancer: Model Development and Validation Study
title_auth Machine Learning–Based Survival Prediction Models for Young Patients With Gastric Cancer: Model Development and Validation Study
title_full Machine Learning–Based Survival Prediction Models for Young Patients With Gastric Cancer: Model Development and Validation Study
title_fullStr Machine Learning–Based Survival Prediction Models for Young Patients With Gastric Cancer: Model Development and Validation Study
title_full_unstemmed Machine Learning–Based Survival Prediction Models for Young Patients With Gastric Cancer: Model Development and Validation Study
title_short Machine Learning–Based Survival Prediction Models for Young Patients With Gastric Cancer: Model Development and Validation Study
title_sort machine learning–based survival prediction models for young patients with gastric cancer: model development and validation study
topic Oncology
General
Oncology
url https://cancer.jmir.org/2026/1/e86418