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| Published in: | JMIR Cancer |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
| Tags: |
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| _version_ | 1867301678149009412 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | JMIR Cancer |
| description | |
| discipline_display | Oncology |
| discipline_facet | Oncology |
| format | Online Article RSS Article |
| 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 |