ReviewFrontiers of medicine2014
Clinical phenotype network: the underlying mechanism for personalized diagnosis and treatment of traditional Chinese medicine.
Review in Frontiers of medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.
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Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The Effectiveness of Interventions Based on Symptom Clusters for Symptom Burden and Quality of Life Among Cancer Patients: A Meta-Analysis of Randomized Controlled Trials.Research in nursing & health · 2026Pooled it
- Traditional Chinese herbal medicine for vascular dementia.The Cochrane database of systematic reviews · 2018Pooled it
- Study on subtyping and Traditional Chinese Medicine treatment of depression based on machine learning and text mining.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2025Article
- Traditional Chinese medicine in the treatment of breast Cancer.Molecular cancer · 2025Review
- Acupuncture for the treatment of the pain-fatigue-sleep disturbance-numbness/tingling symptom cluster in breast cancer survivors: a feasibility trial.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Article
- Mechanism of traditional Chinese medicine in elderly diabetes mellitus and a systematic review of its clinical application.Frontiers in pharmacology · 2024Review
- Treating chronic atrophic gastritis: identifying sub-population based on real-world TCM electronic medical records.Frontiers in pharmacology · 2024Article
- Network pharmacology: towards the artificial intelligence-based precision traditional Chinese medicine.Briefings in bioinformatics · 2023Review
- Network medicine framework reveals generic herb-symptom effectiveness of traditional Chinese medicine.Science advances · 2023Article
- Identifying subgroups of patients with type 2 diabetes based on real-world traditional chinese medicine electronic medical records.Frontiers in pharmacology · 2023Article
- Multi-level advances in databases related to systems pharmacology in traditional Chinese medicine: a 60-year review.Frontiers in pharmacology · 2023Review
- Mining Important Herb Combinations of Traditional Chinese Medicine against Hypertension Based on the Symptom-Herb Network Combined with Network Pharmacology.Evidence-based complementary and alternative medicine : eCAM · 2022Article
- Mechanism and Molecular Targets of Ejiao Siwu Decoction for Treating Primary Immune Thrombocytopenia Based on High-Performance Liquid Chromatograph, Network Pharmacology, Molecular Docking and Cytokines Validation.Frontiers in medicine · 2022Article
- Exploring the "gene-protein-metabolite" network of coronary heart disease with phlegm and blood stasis syndrome by integrated multi-omics strategy.Frontiers in pharmacology · 2022Article
- Research of insomnia on traditional Chinese medicine diagnosis and treatment based on machine learning.Chinese medicine · 2021Article
- FangNet: Mining herb hidden knowledge from TCM clinical effective formulas using structure network algorithm.Computational and structural biotechnology journal · 2021Article
- Using the Symptom Patient Similarity Network to Explore the Difference between the Chinese and Western Medicine Pathways of Ischemic Stroke and its Comorbidities.Evidence-based complementary and alternative medicine : eCAM · 2021Article
- A Novel Framework for Understanding the Pattern Identification of Traditional Asian Medicine From the Machine Learning Perspective.Frontiers in medicine · 2021Article
- Clinical features and the traditional Chinese medicine therapeutic characteristics of 293 COVID-19 inpatient cases.Frontiers of medicine · 2020Observational
- Unsupervised Learning and Multipartite Network Models: A Promising Approach for Understanding Traditional Medicine.Frontiers in pharmacology · 2020Review
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traditional Chinese medicine (TCM) investigates the clinical diagnosis and treatment regularities in a typical schema of personalized medicine, which means that individualized patients with same diseases would obtain distinct diagnosis and optimal treatment from different TCM physicians. This principle has been recognized and adhered by TCM clinical practitioners for thousands of years. However, the underlying mechanisms of TCM personalized medicine are not fully investigated so far and remained unknown. This paper discusses framework of TCM personalized medicine in classic literatures and in real-world clinical settings, and investigates the underlying mechanisms of TCM personalized medicine from the perspectives of network medicine. Based on 246 well-designed outpatient records on insomnia, by evaluating the personal biases of manifestation observation and preferences of herb prescriptions, we noted significant similarities between each herb prescriptions and symptom similarities between each encounters. To investigate the underlying mechanisms of TCM personalized medicine, we constructed a clinical phenotype network (CPN), in which the clinical phenotype entities like symptoms and diagnoses are presented as nodes and the correlation between these entities as links. This CPN is used to investigate the promiscuous boundary of syndromes and the co-occurrence of symptoms. The small-world topological characteristics are noted in the CPN with high clustering structures, which provide insight on the rationality of TCM personalized diagnosis and treatment. The investigation on this network would help us to gain understanding on the underlying mechanism of TCM personalized medicine and would propose a new perspective for the refinement of the TCM individualized clinical skills.
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