ArticleChinese journal of integrative medicine2017
Key symptoms selection for two major syndromes diagnosis of Chinese medicine in chronic hepatitis B.
Article in Chinese journal of integrative medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- Serum Biomarker Identification of Damp-Heat Pattern in Patients with Chronic Liver Diseases.Chinese journal of integrative medicine · 2026Article
- Distinct common signatures of gut microbiota associated with damp-heat syndrome in patients with different chronic liver diseases.Frontiers in pharmacology · 2022Article
- Biological Differentiation of Dampness-Heat Syndromes in Chronic Hepatitis B: From Comparative MicroRNA Microarray Profiling to Biomarker Identification.Evidence-based complementary and alternative medicine : eCAM · 2020Article
- Altered oral microbiota in chronic hepatitis B patients with different tongue coatings.World journal of gastroenterology · 2018Observational
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
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Abstract
objectiveTo identify key symptoms of two major syndromes in chronic hepatitis B (CHB), which can be the clinical evidence for Chinese medicine (CM) doctors to make decisions.
methodsStandardization scales on diagnosis for CHB in CM were designed including physical symptoms, tongue and pulse appearance. The total of 695 CHB cases with dampness-heat (DH) syndrome or Pi (Spleen) deficiency (SD) syndrome were collected for feature selection and modeling, another 275 CHB patients were collected in different locations for validation. Key symptoms were selected based on modified information gain (IG), and 5 classifiers were applied to assist with models training and validation. Classification accuracy and area under receiver operating characteristic curves (AUC) were evaluated.
results(1) Thirteen DH syndrome key symptoms and 13 SD syndrome key symptoms were selected from original 125 symptoms; (2) The key symptoms could achieve similar or better diagnostic accuracy than the original total symptoms; (3) In the validation phase, the key symptoms could identify syndromes effectively, especially in DH syndrome, which average prediction accuracy on 5 classifiers could achieve 0.864 with the average AUC 0.772.
conclusionThe selected key symptoms could be simple DH and SD syndromes diagnostic elements applied in clinical directly. (Registration N0.: ChiCTR-DCC-10000759).
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