TCM herbal prescription recommendation model based on multi-graph convolutional network

Zhao, Wen; Lu, Weikai; Li, Zuoyong; Zhou, Chang; Fan, Haoyi; Yang, Zhaoyang; Lin, Xuejuan; Li, Candong

doi:10.1016/j.jep.2022.115109

Cited by 28 publications

(14 citation statements)

References 4 publications

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“…Currently, the prescribing information for some TCM is not clear and overly simplistic and does not reflect known risks [ 2 ], but the TCM prescription is an important reference for clinicians and patients, providing an important guide for rational use and administration of medicine [ 10 ]. As we know, the accuracy of this information is crucial to the safe use of a medicine, such as dosage and duration of usage [ 16 ].…”

Section: Discussionmentioning

confidence: 99%

“…(3) suitability of prescription unaudited by a pharmacist; (4) without age description in the prescription for newborns or infants; (5) using a prescription for western medicine, Chinese herbal medicine, and Chinese herbal medicine; (6) prescription using an abnormal name for medicine; (7) unstandardized or unclear description of dosage, specication, quantity, unit, etc., of medicine; (8) ambiguous usage and dosage of medicine; (9) no signature and modi ed date in a revised prescription, or no reasons for overdose or signatures; (10) incomplete or no clinical diagnosis; (11) more than ve medicines in a prescription; (12) no special reasons for the medicine usage over 7 days in an outpatient prescription, over 3 days in an emergency prescription, or an extension of medicine for chronic diseases; (13) prescribing specially managed drugs, such as narcotics, psychotropics, medical toxicants, and radiopharmaceuticals without strictly complying with rules; (14) prescription of antibiotics without strictly complying with rules; and (15) prescription of the Chinese herbal medicines without complying with the ranking of the compositions in four groups-monarch, minister, assistant, guide (also known as "Jun, Chen, Zuo, Shi").…”

Section: Nonstandard Prescriptionsmentioning

confidence: 99%

“…As an important part of the hospital, the TCM pharmacy has a great impact on the social image of the hospital due to the professional skills and service quality, which is mainly responsible for the management of TCM, including the prescription reviews [ 9 ]. TCM prescription was not only the content of doctors' diagnosis but also the basis of drug allocation, which was directly related to the safety and effectiveness of patients [ 10 ]. However, the formulation of TCM prescriptions usually relies on the experience, intuition, and knowledge of the practitioner [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

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Application of Prescription Reviews for Traditional Chinese Medicine to Improve Medical Disputes and Patient Satisfaction

Cai¹,

Xu²

2022

Evidence-Based Complementary and Alternative Medicine

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Objective. Medical disputes and patient satisfaction are related to inappropriate prescribing practices. We aim to investigate the clinical application of prescription reviews for traditional Chinese medicine (TCM). Method. TCM prescriptions performed prescription reviews in 372 patients from the year 2019 to 2020 were set as the observation group and those from the year 2017 to 2018 without prescription reviews as the control group (n = 341). According to the Criteria for Assessing Prescription Quality in Chinese Hospitals (CAPQCH) items, “Irrational” and “Rational” TCM prescriptions were determined mainly based on the following category: nonstandard prescriptions, inappropriate prescriptions, and hypernormal prescriptions. The incidence of medical disputes and the degree of patient satisfaction were compared between the two groups. Result. No difference was found in age and gender between the control group and the observation group. The number of irrational TCM prescriptions from the year 2017 to 2020 was 6, 8, 2, and 3, respectively, with the percentage of 3.725%, 4.480%, 1.201%, and 1.446%. The irrational rate in the observation group (1.344%) was significantly lower than that in the control group (4.106%). Specifically, a higher rate of nonstandard prescriptions was revealed in the control group as compared with the observation group. Moreover, a reduced incidence of medical disputes was revealed in the observation group relative to the control group accompanying with the increased degree of patient satisfaction. Conclusion. Prescription reviews have high application value in the management of Chinese pharmacies, which can improve the rationality of prescriptions, increase patient satisfaction, and reduce medical disputes.

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Section: Discussionmentioning

confidence: 99%

Section: Nonstandard Prescriptionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Application of Prescription Reviews for Traditional Chinese Medicine to Improve Medical Disputes and Patient Satisfaction

Cai¹,

Xu²

2022

Evidence-Based Complementary and Alternative Medicine

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“…TCM prescriptions are usually composed of a variety of herbs in a certain proportion, and these herbs exert synergistic roles in the whole prescription, which is the basis for the TCM prescriptions to treat diseases through multi-target and multi-mechanism ( Zhao et al, 2022 ). Several TCM prescriptions containing MO as the main ingredient have been shown to have anti-aging effects and efficacy against AD.…”

Section: Traditional Chinese Medicines Prescriptions Containing ...mentioning

confidence: 99%

Neuroprotective effects of Morinda officinalis How.: Anti-inflammatory and antioxidant roles in Alzheimer’s disease

Zhang

2022

Front. Aging Neurosci.

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Pharmacological studies have shown that some traditional Chinese medicines (TCMs) have applications in the treatment of Alzheimer’s disease (AD). Morinda officinalis How. (MO) is a TCM with a long history and is widely used to tonify kidney Yang. In vitro and in vivo experiments have suggested that MO contains various effective pharmaceutical components and chemicals, including oligosaccharides, anthraquinones, iridoids, flavonoids, amino acids, and trace elements, conferring MO with anti-inflammatory and antioxidant properties. Neuroinflammation and oxidative stress are undoubtedly hallmarks of neurodegeneration, contributing to AD progression. In this mini-review, we summarize the molecular mechanisms, structure-activity relationships, and potential synergistic and antagonistic effects of active components in MO. This discussion highlights the roles of these active components, such as oligosaccharides, anthraquinones, and iridoid glycosides, in the treatment of AD via anti-inflammatory and antioxidant mechanisms, providing a scientific basis for further utilization of MO.

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“…On the one hand, the constructed MTP networks can be used to construct miRNA similarity networks and fnd hub miRNAs by calculating the similarity of miRNA actions, i.e., network analysis. On the other hand, MTP networks can also be modelled with models, such as knowledge graphs or graph neural networks, i.e., network modelling, both for predicting nodes and connected edges as well as labels with classifers such as fully connected neural networks (MLP) after obtaining embedding representation [22]. Network modelling is a deep learning task for modelling complex heterogeneous network graphs.…”

Section: Introductionmentioning

confidence: 99%

A Complex Heterogeneous Network Model of Disease Regulated by Noncoding RNAs: A Case Study of Unstable Angina Pectoris

Dan

et al. 2022

Computational Intelligence and Neuroscience

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MicroRNAs (miRNAs) are important types of noncoding RNAs, and there is a lack of holistic and systematic understanding of the functions they play in disease. We proposed a research strategy, including two parts network analysis and network modelling, to analyze, model, and predict the regulatory network of miRNAs from a network perspective, using unstable angina pectoris as an example. In the network analysis section, we proposed the WGCNA & SimCluster method using both correlation and similarity to find hub miRNAs, and validation on two datasets showed better results than the methods using correlation or similarity alone. In the network modelling section, we used six knowledge graph or graph neural network models for link prediction of three types of edges and multilabel classification of two types of nodes. Comparative experiments showed that the RotatE model was a good model for link prediction, while the RGCN model was the best model for multilabel classification. Potential target genes were predicted for hub miRNAs and validation of hub miRNA-target gene interactions, target genes as biomarkers and target gene functions were performed using a three-step validation approach. In conclusion, our study provides a new strategy to analyze and model miRNA regulatory networks.

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TCM herbal prescription recommendation model based on multi-graph convolutional network

Cited by 28 publications

References 4 publications

Application of Prescription Reviews for Traditional Chinese Medicine to Improve Medical Disputes and Patient Satisfaction

Application of Prescription Reviews for Traditional Chinese Medicine to Improve Medical Disputes and Patient Satisfaction

Neuroprotective effects of Morinda officinalis How.: Anti-inflammatory and antioxidant roles in Alzheimer’s disease

A Complex Heterogeneous Network Model of Disease Regulated by Noncoding RNAs: A Case Study of Unstable Angina Pectoris

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