Using meta-analysis and CNN-NLP to review and classify the medical literature for normal tissue complication probability in head and neck cancer

Using meta-analysis and CNN-NLP to review and classify the medical literature for normal tissue complication probability in head and neck cancer

Abstract Purpose The study aims to enhance the efficiency and accuracy of literature reviews on normal tissue complication probability (NTCP) in head and neck cancer patients using radiation therapy. It employs meta-analysis (MA) and natural language processing (NLP). Material and methods The study...

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Main Authors: Tsair-Fwu Lee, Yang-Wei Hsieh, Pei-Ying Yang, Chi-Hung Tseng, Shen-Hao Lee, Jack Yang, Liyun Chang, Jia-Ming Wu, Chin-Dar Tseng, Pei-Ju Chao
Format: Article
Language:English
Published: BMC 2024-01-01
Series:Radiation Oncology
Subjects:
Meta-analysis
Natural language processing
Head and neck cancer
Squamous cell carcinoma of the head and neck
Normal tissue complication probability prediction
Convolutional neural networks
Online Access:https://doi.org/10.1186/s13014-023-02381-7

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