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- W4285338839 abstract "Objective: To develop a neural network model that recommends traditional Chinese medicine (TCM) herbal prescriptions. Methods: We constructed a new dataset of diagnosis and treatment knowledge from the Treatise on Febrile Diseases. Based on TCM's logical principles of “syndrome differentiation” and “state recognition”, a back-propagation neural network model is proposed that simulates clinical diagnosis and treatment. Results: The proposed model is a four-layer BP neural network. Experiments on the constructed dataset show that the proposed method achieved the best precision, recall, and F1-scores. Conclusion: The proposed method provides much more accurate herbal prescription recommendations than logistic regression." @default.
- W4285338839 created "2022-07-14" @default.
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- W4285338839 date "2021-11-01" @default.
- W4285338839 modified "2023-10-03" @default.
- W4285338839 title "Neural Network-Based Prescription of Chinese Herbal Medicines" @default.
- W4285338839 doi "https://doi.org/10.1109/itme53901.2021.00084" @default.
- W4285338839 hasPublicationYear "2021" @default.
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