Using meta-analysis and CNN-NLP to review and classify the medical literature for normal tissue complication probability in head and neck cancer.
Tsair-Fwu LeeYang-Wei HsiehPei-Ying YangChi-Hung TsengShen-Hao LeeJack YangLiyun ChangJia-Ming WuChin-Dar TsengPei-Ju ChaoPublished in: Radiation oncology (London, England) (2024)
The study successfully merges MA and NLP, confirming high predictive accuracy for specific model-feature combinations. It introduces a time-based metric, words per minute (WPM), for efficiency and highlights the utility of MA and NLP in clinical research.