Nasopharyngeal Carcinoma
What's New
Last Posted: Apr 02, 2024
- Early detection of nasopharyngeal carcinoma through machine-learning-driven prediction model in a population-based healthcare record database.
Jeng-Wen Chen et al. Cancer Med 2024 13(7) e7144 - Use of survival support vector machine combined with random survival forest to predict the survival of nasopharyngeal carcinoma patients.
Zhiwei Xiao et al. Transl Cancer Res 2024 12(12) 3581-3590 - Application of Artificial Intelligence to the Diagnosis and Therapy of Nasopharyngeal Carcinoma.
Xinggang Yang et al. J Clin Med 2023 12(9) - [Construction and evaluation of an artificial intelligence-based risk prediction model for death in patients with nasopharyngeal cancer].
H Zhang et al. Nan fang yi ke da xue xue bao = Journal of Southern Medical University 2023 43(2) 271-279 - Integrative Scoring System for Survival Prediction in Patients With Locally Advanced Nasopharyngeal Carcinoma: A Retrospective Multicenter Study.
Bin Zhang et al. JCO clinical cancer informatics 2023 7e2200015 - Building practical risk prediction models for nasopharyngeal carcinoma screening with patient graph analysis and machine learning.
Chen Anjun et al. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 2022 - Deep Learning for Predicting Distant Metastasis in Patients with Nasopharyngeal Carcinoma Based on Pre-Radiotherapy Magnetic Resonance Imaging.
Hua Hong-Li et al. Combinatorial chemistry & high throughput screening 2022 - Whole-exome sequencing study of familial nasopharyngeal carcinoma and its implication for identifying high-risk individuals.
Wang Tong-Min et al. Journal of the National Cancer Institute 2022 - Machine Learning Based on MRI DWI Radiomics Features for Prognostic Prediction in Nasopharyngeal Carcinoma.
Hu Qiyi et al. Cancers 2022 14(13) - Radiomics for Predicting Response of Neoadjuvant Chemotherapy in Nasopharyngeal Carcinoma: A Systematic Review and Meta-Analysis.
Yang Chao et al. Frontiers in oncology 2022 12893103
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Disclaimer: Articles listed in the Public Health Knowledge Base are selected by Public Health Genomics Branch to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Feb 1, 2024
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