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Evaluation of the Applicability of Synthetic Data in the Development of Colorectal Cancer Survival Prediction Models: External Validation of Advanced Machine Learning Models Based on National Cancer Data Center Data

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Published in:Journal of Medical Internet Research
Format: Online Article RSS Article
Published: 2026
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container_title Journal of Medical Internet Research
description
discipline_display Internal Medicine
discipline_facet Internal Medicine
format Online Article
RSS Article
genre Journal Article
id rss_article:101083
institution FRELIP
journal_source_facet Journal of Medical Internet Research
last_indexed 2026-07-09T03:35:13.805Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Evaluation of the Applicability of Synthetic Data in the Development of Colorectal Cancer Survival Prediction Models: External Validation of Advanced Machine Learning Models Based on National Cancer Data Center Data
Internal Medicine
General
Internal Medicine
sub_discipline_display General
sub_discipline_facet General
subject_display Internal Medicine
General
Internal Medicine
subject_facet Internal Medicine
General
Internal Medicine
title Evaluation of the Applicability of Synthetic Data in the Development of Colorectal Cancer Survival Prediction Models: External Validation of Advanced Machine Learning Models Based on National Cancer Data Center Data
title_alt Evaluación de la aplicabilidad de datos sintéticos en el desarrollo de modelos de predicción de supervivencia del cáncer colorrectal: validación externa de modelos avanzados de aprendizaje automático basados en datos del Centro Nacional de Datos de Cáncer
Évaluation de l'applicabilité des données synthétiques dans le développement de modèles de prédiction de survie au cancer colorectal : validation externe de modèles avancés d'apprentissage automatique basés sur les données du Centre national de données sur le cancer
Avaliação da Aplicabilidade de Dados Sintéticos no Desenvolvimento de Modelos de Predição de Sobrevivência ao Câncer Colorretal: Validação Externa de Modelos Avançados de Aprendizado de Máquina Baseados em Dados do National Cancer Data Center
title_auth Evaluation of the Applicability of Synthetic Data in the Development of Colorectal Cancer Survival Prediction Models: External Validation of Advanced Machine Learning Models Based on National Cancer Data Center Data
title_es_txt Evaluación de la aplicabilidad de datos sintéticos en el desarrollo de modelos de predicción de supervivencia del cáncer colorrectal: validación externa de modelos avanzados de aprendizaje automático basados en datos del Centro Nacional de Datos de Cáncer
title_fr_txt Évaluation de l'applicabilité des données synthétiques dans le développement de modèles de prédiction de survie au cancer colorectal : validation externe de modèles avancés d'apprentissage automatique basés sur les données du Centre national de données sur le cancer
title_full Evaluation of the Applicability of Synthetic Data in the Development of Colorectal Cancer Survival Prediction Models: External Validation of Advanced Machine Learning Models Based on National Cancer Data Center Data
title_fullStr Evaluation of the Applicability of Synthetic Data in the Development of Colorectal Cancer Survival Prediction Models: External Validation of Advanced Machine Learning Models Based on National Cancer Data Center Data
title_full_unstemmed Evaluation of the Applicability of Synthetic Data in the Development of Colorectal Cancer Survival Prediction Models: External Validation of Advanced Machine Learning Models Based on National Cancer Data Center Data
title_pt_txt Avaliação da Aplicabilidade de Dados Sintéticos no Desenvolvimento de Modelos de Predição de Sobrevivência ao Câncer Colorretal: Validação Externa de Modelos Avançados de Aprendizado de Máquina Baseados em Dados do National Cancer Data Center
title_short Evaluation of the Applicability of Synthetic Data in the Development of Colorectal Cancer Survival Prediction Models: External Validation of Advanced Machine Learning Models Based on National Cancer Data Center Data
title_sort evaluation of the applicability of synthetic data in the development of colorectal cancer survival prediction models: external validation of advanced machine learning models based on national cancer data center data
topic Internal Medicine
General
Internal Medicine
url https://www.jmir.org/2026/1/e86087