FOLLOWUS
1. School of Computer and Information Technology, Beijing Jiaotong University,Beijing,China
2. Guang’anmen Hospital, China Academy of Chinese Medical Sciences,Beijing,China
3. Duke-NUS Graduate Medical School,Singapore,Singapore
4. Research on Research group, Duke University,Durham,USA
5. China Academy of Chinese Medical Sciences,Beijing,China
6. College of Staten Island/City University of New York,New York,USA
纸质出版日期:2011,
网络出版日期:2011-9-11,
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Zhou, Xz., Zhang, Rs., Shah, J. et al. Patterns of herbal combination for the treatment of insomnia commonly employed by highly experienced Chinese medicine physicians., Chin. J. Integr. Med. 17, 655 (2011). https://doi.org/10.1007/s11655-011-0841-9
Xue-zhong Zhou, Run-shun Zhang, Jatin Shah, et al. Patterns of herbal combination for the treatment of insomnia commonly employed by highly experienced Chinese medicine physicians[J]. Chinese Journal of Integrative Medicine, 2011,17(9):655-662.
Zhou, Xz., Zhang, Rs., Shah, J. et al. Patterns of herbal combination for the treatment of insomnia commonly employed by highly experienced Chinese medicine physicians., Chin. J. Integr. Med. 17, 655 (2011). https://doi.org/10.1007/s11655-011-0841-9 DOI:
Xue-zhong Zhou, Run-shun Zhang, Jatin Shah, et al. Patterns of herbal combination for the treatment of insomnia commonly employed by highly experienced Chinese medicine physicians[J]. Chinese Journal of Integrative Medicine, 2011,17(9):655-662. DOI: 10.1007/s11655-011-0841-9.
To explore the most effective herbal combinations commonly used by highly experienced Chinese medicine (CM) physicians for the treatment of insomnia. We collected and analyzed data related to insomnia treatment from the clinics of 7 highly experienced CM physicians in Beijing. The sample included 162 patients and 460 consultations in total. Patient outcomes
such as sleep quality and sleep time per day
were manually collected from the medical records by trained CM clinicians. Three data mining methods
support vector machine (SVM)
logistic regression and decision tree
and multifactor dimensionality reduction (MDR)
were used to determine and confirm the herbal combinations that resulted in positive outcomes in patients suffering from insomnia. Results show that MDR is the most efficient method to predict the effective herbal combinations. Using the MDR model
we identified several combinations of herbs with 100% positive outcomes
such as stir-fried spine date seed
Szechwan lovage rhizome
and prepared thinleaf milkwort root; white peony root
golden thread
and stir-fried spine date seed; and Asiatic cornelian cherry fruit with fresh rehmannia. Results indicate that herbal combinations are effective treatments for patients with insomnia compared with individual herbs. It is also shown that MDR is a potent data mining method to identify the herbal combination with high rates of positive outcome.
To explore the most effective herbal combinations commonly used by highly experienced Chinese medicine (CM) physicians for the treatment of insomnia. We collected and analyzed data related to insomnia treatment from the clinics of 7 highly experienced CM physicians in Beijing. The sample included 162 patients and 460 consultations in total. Patient outcomes
such as sleep quality and sleep time per day
were manually collected from the medical records by trained CM clinicians. Three data mining methods
support vector machine (SVM)
logistic regression and decision tree
and multifactor dimensionality reduction (MDR)
were used to determine and confirm the herbal combinations that resulted in positive outcomes in patients suffering from insomnia. Results show that MDR is the most efficient method to predict the effective herbal combinations. Using the MDR model
we identified several combinations of herbs with 100% positive outcomes
such as stir-fried spine date seed
Szechwan lovage rhizome
and prepared thinleaf milkwort root; white peony root
golden thread
and stir-fried spine date seed; and Asiatic cornelian cherry fruit with fresh rehmannia. Results indicate that herbal combinations are effective treatments for patients with insomnia compared with individual herbs. It is also shown that MDR is a potent data mining method to identify the herbal combination with high rates of positive outcome.
Chinese Medicineinsomnia treatmenthighly experienced Chinese medicine physicianherb combinationsmultifactor dimensionality reductiondata mining
Chinese Medicineinsomnia treatmenthighly experienced Chinese medicine physicianherb combinationsmultifactor dimensionality reductiondata mining
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