Data on Nasopharyngeal Carcinoma Reported by Wenxi Wu and Colleagues (Comparativ e evaluation of machine learning models in predicting overall survival for nasop haryngeal carcinoma using 18F-FDG PET-CT parameters)

Robotics & Machine Learning Daily News2024，Issue(Oct.9) ：85-86.

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Data on Nasopharyngeal Carcinoma Reported by Wenxi Wu and Colleagues (Comparativ e evaluation of machine learning models in predicting overall survival for nasop haryngeal carcinoma using 18F-FDG PET-CT parameters)

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Abstract

New research on Oncology - Nasopharyng eal Carcinoma is the subject of a report. According to news originating from Fuj ian, People's Republic of China, by NewsRx correspondents, research stated, "The objective of this study is to assess the prognostic efficacy of F-fluorodeoxygl ucose (F-FDG) positron emission tomography/computed tomography (PET-CT) paramete rs in nasopharyngeal carcinoma (NPC) and identify the best machine learning (ML) prognostic model for NPC patients based on these F-FDG PET/CT parameters and cl inical variables. A cohort of 678 patients diagnosed with NPC between 2016 and 2 020 was analyzed in this study."

Key words

Fujian/People's Republic of China/Asia/Cancer/Carcinomas/Cyborgs/Emerging Technologies/Health and Medicine/Machi ne Learning/Nasopharyngeal Carcinoma/Oncology/Risk and Prevention

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出版年

2024

Robotics & Machine Learning Daily News

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