ArticleFrontiers in medicine2021
A Novel Framework for Understanding the Pattern Identification of Traditional Asian Medicine From the Machine Learning Perspective.
Article in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Herbal medicine evaluation for reimbursement-based facial palsy (HERB-FP): a retrospective analysis using Korean health insurance claim data 2020-2024.BMC complementary medicine and therapies · 2025Article
- Discovering the key symptoms for identifying patterns in functional dyspepsia patients: Doctor's decision and machine learning.Integrative medicine research · 2025Article
- Identifying key features for determining the patterns of patients with functional dyspepsia using machine learning.Frontiers in physiology · 2025Article
- A practical guide to implementing artificial intelligence in traditional East Asian medicine research.Integrative medicine research · 2024Article
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4 authors.
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Abstract
Pattern identification (PI), a unique diagnostic system of traditional Asian medicine, is the process of inferring the pathological nature or location of lesions based on observed symptoms. Despite its critical role in theory and practice, the information processing principles underlying PI systems are generally unclear. We present a novel framework for comprehending the PI system from a machine learning perspective. After a brief introduction to the dimensionality of the data, we propose that the PI system can be modeled as a dimensionality reduction process and discuss analytical issues that can be addressed using our framework. Our framework promotes a new approach in understanding the underlying mechanisms of the PI process with strong mathematical tools, thereby enriching the explanatory theories of traditional Asian medicine.
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