Poon, J., Luo, Z. & Zhang, Rs. Feature representation in the biclustering of symptom-herb relationship in Chinese medicine., Chin. J. Integr. Med. 17, 663 (2011). https://doi.org/10.1007/s11655-011-0842-8
Josiah Poon, Zhe Luo, Run-shun Zhang. Feature representation in the biclustering of symptom-herb relationship in Chinese medicine[J]. Chinese Journal of Integrative Medicine, 2011,17(9):663-668.
Poon, J., Luo, Z. & Zhang, Rs. Feature representation in the biclustering of symptom-herb relationship in Chinese medicine., Chin. J. Integr. Med. 17, 663 (2011). https://doi.org/10.1007/s11655-011-0842-8DOI:
Josiah Poon, Zhe Luo, Run-shun Zhang. Feature representation in the biclustering of symptom-herb relationship in Chinese medicine[J]. Chinese Journal of Integrative Medicine, 2011,17(9):663-668. DOI: 10.1007/s11655-011-0842-8.
Feature representation in the biclustering of symptom-herb relationship in Chinese medicine
摘要
To find an appropriate feature representation in the biclustering of symptom-herb relationship in Chinese medicine (CM). Four different representation schemes were tested in identifying the complex relationship between symptoms and herbs using a biclustering algorithm on an insomnia data set. These representation schemes were effective count
binary value
relative success ratio
or modified relative success ratio. The comparison of the schemes was made on the number and size of biclusters with respect to different threshold values. The modified relative success ratio scheme was the most appropriate feature representation among the four tested. Some of the biclusters selected from this representation scheme were known to follow the therapeutic principles of CM
while others may offer clues for further clinical investigations.
Abstract
To find an appropriate feature representation in the biclustering of symptom-herb relationship in Chinese medicine (CM). Four different representation schemes were tested in identifying the complex relationship between symptoms and herbs using a biclustering algorithm on an insomnia data set. These representation schemes were effective count
binary value
relative success ratio
or modified relative success ratio. The comparison of the schemes was made on the number and size of biclusters with respect to different threshold values. The modified relative success ratio scheme was the most appropriate feature representation among the four tested. Some of the biclusters selected from this representation scheme were known to follow the therapeutic principles of CM
while others may offer clues for further clinical investigations.
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相关作者
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相关机构
Georg-August-Universität Göttingen, Göttingen
The Key Laboratory of Geriatrics, Beijing Hospital and Beijing Institute of Geriatrics’ Ministry of Public Health
Medical Informatics Center, Peking University
Department of Hospital Management, Peking University Health Science Center, Peking University
Neurology Department of Peking University Third Hospital, Peking University