Approaches to the mining of traditional Chinese medical experts' case histories using machine learning techniques
As a model for solving clinical challenges, renowned medical cases have affirmed the correctness of diagnostic and treatment approaches as well as the effectiveness of practical outcomes through long-term clinical practice. However, traditional statistical methods struggle to comprehensively and dee...
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| Format: | Article |
| Language: | zho |
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Editorial Office of New Medicine
2024-04-01
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| Series: | Yixue xinzhi zazhi |
| Online Access: | https://yxxz.whuznhmedj.com/futureApi/storage/attach/2404/H1whcuBpTBtJsaB18zuQsDnkWhKDDrOTdsYtKyyG.pdf |
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| _version_ | 1846110412950470656 |
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| author | XIA Xin MU Wei LI Yanfen HUANG Yuhong |
| author_facet | XIA Xin MU Wei LI Yanfen HUANG Yuhong |
| author_sort | XIA Xin |
| collection | DOAJ |
| description | As a model for solving clinical challenges, renowned medical cases have affirmed the correctness of diagnostic and treatment approaches as well as the effectiveness of practical outcomes through long-term clinical practice. However, traditional statistical methods struggle to comprehensively and deeply unveil the speculative sys-tem and empirical logic of traditional Chinese medicine (TCM), especially when confronted with its nonlinear, multi-dimensional, and complex relationships. In contrast, machine learning methods demonstrate significant advantages in addressing such issues and have been widely applied in the study and inheritance of TCM. This article aims to discuss how to use machine learning algorithms to study TCM medical cases, and to describe the acquisition and processing of TCM medical case data and the selection of machine learning algorithms, with a view to providing references for the study of TCM medical cases. |
| format | Article |
| id | doaj-art-a53e353fd0704aeea62c255214e17a15 |
| institution | Kabale University |
| issn | 1004-5511 |
| language | zho |
| publishDate | 2024-04-01 |
| publisher | Editorial Office of New Medicine |
| record_format | Article |
| series | Yixue xinzhi zazhi |
| spelling | doaj-art-a53e353fd0704aeea62c255214e17a152024-12-24T08:53:08ZzhoEditorial Office of New MedicineYixue xinzhi zazhi1004-55112024-04-0134444845710.12173/j.issn.1004-5511.2023121296474Approaches to the mining of traditional Chinese medical experts' case histories using machine learning techniquesXIA XinMU WeiLI YanfenHUANG YuhongAs a model for solving clinical challenges, renowned medical cases have affirmed the correctness of diagnostic and treatment approaches as well as the effectiveness of practical outcomes through long-term clinical practice. However, traditional statistical methods struggle to comprehensively and deeply unveil the speculative sys-tem and empirical logic of traditional Chinese medicine (TCM), especially when confronted with its nonlinear, multi-dimensional, and complex relationships. In contrast, machine learning methods demonstrate significant advantages in addressing such issues and have been widely applied in the study and inheritance of TCM. This article aims to discuss how to use machine learning algorithms to study TCM medical cases, and to describe the acquisition and processing of TCM medical case data and the selection of machine learning algorithms, with a view to providing references for the study of TCM medical cases.https://yxxz.whuznhmedj.com/futureApi/storage/attach/2404/H1whcuBpTBtJsaB18zuQsDnkWhKDDrOTdsYtKyyG.pdf |
| spellingShingle | XIA Xin MU Wei LI Yanfen HUANG Yuhong Approaches to the mining of traditional Chinese medical experts' case histories using machine learning techniques Yixue xinzhi zazhi |
| title | Approaches to the mining of traditional Chinese medical experts' case histories using machine learning techniques |
| title_full | Approaches to the mining of traditional Chinese medical experts' case histories using machine learning techniques |
| title_fullStr | Approaches to the mining of traditional Chinese medical experts' case histories using machine learning techniques |
| title_full_unstemmed | Approaches to the mining of traditional Chinese medical experts' case histories using machine learning techniques |
| title_short | Approaches to the mining of traditional Chinese medical experts' case histories using machine learning techniques |
| title_sort | approaches to the mining of traditional chinese medical experts case histories using machine learning techniques |
| url | https://yxxz.whuznhmedj.com/futureApi/storage/attach/2404/H1whcuBpTBtJsaB18zuQsDnkWhKDDrOTdsYtKyyG.pdf |
| work_keys_str_mv | AT xiaxin approachestotheminingoftraditionalchinesemedicalexpertscasehistoriesusingmachinelearningtechniques AT muwei approachestotheminingoftraditionalchinesemedicalexpertscasehistoriesusingmachinelearningtechniques AT liyanfen approachestotheminingoftraditionalchinesemedicalexpertscasehistoriesusingmachinelearningtechniques AT huangyuhong approachestotheminingoftraditionalchinesemedicalexpertscasehistoriesusingmachinelearningtechniques |