Mining Effective Patterns of Chinese Medicinal Formulae Using Top-k Weighted Association Rules for the Internet of Medical Things
In China, people have been using traditional Chinese medicine (TCM) to treat diseases for thousands of years. Doctors combine patient symptoms with TCM theory to devise formulae composed of several traditional medicines. With the rapid development of the Internet of Things (IoT), the Internet of Med...
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IEEE
2018-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8481430/ |
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doaj-72aba0cb0e254dbd94507e77c42b03df2021-03-29T21:30:59ZengIEEEIEEE Access2169-35362018-01-016578405785510.1109/ACCESS.2018.28736778481430Mining Effective Patterns of Chinese Medicinal Formulae Using Top-k Weighted Association Rules for the Internet of Medical ThingsXiaolin Zhu0https://orcid.org/0000-0002-3531-6414Yongguo Liu1Qiaoqin Li2Yi Zhang3Chuanbiao Wen4Knowledge and Data Engineering Laboratory of Chinese Medicine, School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, ChinaKnowledge and Data Engineering Laboratory of Chinese Medicine, School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, ChinaKnowledge and Data Engineering Laboratory of Chinese Medicine, School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, ChinaCollege of Ethnic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaCollege of Medical Information Engineering, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaIn China, people have been using traditional Chinese medicine (TCM) to treat diseases for thousands of years. Doctors combine patient symptoms with TCM theory to devise formulae composed of several traditional medicines. With the rapid development of the Internet of Things (IoT), the Internet of Medical Things (IoMT) is gaining popularity in the TCM domain. Consequently, a large number of TCM formulae with different therapeutic effects have been accumulated in IoMT. Therefore, we presented PWFP, which is an efficient methodology for extracting the top-K weighted frequent patterns for IoMT. PWFP guarantees efficient mining performance by estimating the minimum weighted support threshold value. Furthermore, PWFP can be applied in the efficacy-based analysis of these TCM formulae. This study conducted several experiments on both general datasets and TCM formulae for glomerulonephritis stored in IoMT. The rankings of the patterns mined from the prescriptions displayed a good rise in clinical efficacy. Doctors can use these top-k effective patterns as new drug and medicine combination candidates when they conduct drug discovery research and perform clinical medicine selection.https://ieeexplore.ieee.org/document/8481430/Chinese medicinal formulaecurative effectInternet of medical Thingstop-K weighted frequent patterns |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Xiaolin Zhu Yongguo Liu Qiaoqin Li Yi Zhang Chuanbiao Wen |
| spellingShingle |
Xiaolin Zhu Yongguo Liu Qiaoqin Li Yi Zhang Chuanbiao Wen Mining Effective Patterns of Chinese Medicinal Formulae Using Top-k Weighted Association Rules for the Internet of Medical Things IEEE Access Chinese medicinal formulae curative effect Internet of medical Things top-K weighted frequent patterns |
| author_facet |
Xiaolin Zhu Yongguo Liu Qiaoqin Li Yi Zhang Chuanbiao Wen |
| author_sort |
Xiaolin Zhu |
| title |
Mining Effective Patterns of Chinese Medicinal Formulae Using Top-k Weighted Association Rules for the Internet of Medical Things |
| title_short |
Mining Effective Patterns of Chinese Medicinal Formulae Using Top-k Weighted Association Rules for the Internet of Medical Things |
| title_full |
Mining Effective Patterns of Chinese Medicinal Formulae Using Top-k Weighted Association Rules for the Internet of Medical Things |
| title_fullStr |
Mining Effective Patterns of Chinese Medicinal Formulae Using Top-k Weighted Association Rules for the Internet of Medical Things |
| title_full_unstemmed |
Mining Effective Patterns of Chinese Medicinal Formulae Using Top-k Weighted Association Rules for the Internet of Medical Things |
| title_sort |
mining effective patterns of chinese medicinal formulae using top-k weighted association rules for the internet of medical things |
| publisher |
IEEE |
| series |
IEEE Access |
| issn |
2169-3536 |
| publishDate |
2018-01-01 |
| description |
In China, people have been using traditional Chinese medicine (TCM) to treat diseases for thousands of years. Doctors combine patient symptoms with TCM theory to devise formulae composed of several traditional medicines. With the rapid development of the Internet of Things (IoT), the Internet of Medical Things (IoMT) is gaining popularity in the TCM domain. Consequently, a large number of TCM formulae with different therapeutic effects have been accumulated in IoMT. Therefore, we presented PWFP, which is an efficient methodology for extracting the top-K weighted frequent patterns for IoMT. PWFP guarantees efficient mining performance by estimating the minimum weighted support threshold value. Furthermore, PWFP can be applied in the efficacy-based analysis of these TCM formulae. This study conducted several experiments on both general datasets and TCM formulae for glomerulonephritis stored in IoMT. The rankings of the patterns mined from the prescriptions displayed a good rise in clinical efficacy. Doctors can use these top-k effective patterns as new drug and medicine combination candidates when they conduct drug discovery research and perform clinical medicine selection. |
| topic |
Chinese medicinal formulae curative effect Internet of medical Things top-K weighted frequent patterns |
| url |
https://ieeexplore.ieee.org/document/8481430/ |
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