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A Traditional Chinese Medicine Syndrome Classification Model Based on Cross-Feature Generation by Convolution Neural Network: Model Development and Validation

https://doi.org/10.2196/29290
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cpe.4634openalex-snapshot
Multi‐label feature selection with application to TCM state identification
inferredcites →https://doi.org/10.1007/s11042-016-3363-9openalex-snapshot
TCM clinic records data mining approaches based on weighted-LDA and multi-relationship LDA model
inferredcites →https://doi.org/10.1016/j.artmed.2021.102134openalex-snapshot
Network differentiation: A computational method of pathogenesis diagnosis in traditional Chinese medicine based on systems science
inferredcites →https://doi.org/10.1016/j.biopha.2021.111367openalex-snapshot
Modeling of diagnosis for metabolic syndrome by integrating symptoms into physiochemical indexes
inferredcites →https://doi.org/10.1016/j.ejogrb.2019.12.032openalex-snapshot
Pain coping, pain acceptance and analgesic use as predictors of health-related quality of life among women with primary dysmenorrhea
inferredcites →https://doi.org/10.1016/j.jep.2016.03.067openalex-snapshot
Effects and mechanisms of Shaofu-Zhuyu decoction and its major bioactive component for Cold - Stagnation and Blood – Stasis primary dysmenorrhea rats
inferredcites →https://doi.org/10.1021/acs.jproteome.8b00799openalex-snapshot
A Large-Scale, Multi-Center Urine Biomarkers Identification of Coronary Heart Disease in TCM Syndrome Differentiation
inferredcites →https://doi.org/10.1038/480s82aopenalex-snapshot
TCM: Made in China
inferredcites →https://doi.org/10.1038/d41586-018-06782-7openalex-snapshot
Why Chinese medicine is heading for clinics around the world
inferredcites →https://doi.org/10.1093/epirev/mxt009openalex-snapshot
The Prevalence and Risk Factors of Dysmenorrhea
inferredcites →https://doi.org/10.1109/access.2019.2921318openalex-snapshot
Intelligent Syndrome Differentiation of Traditional Chinese Medicine by ANN: A Case Study of Chronic Obstructive Pulmonary Disease
inferredcites →https://doi.org/10.1109/bibm.2013.6732695openalex-snapshot
The syndrome differentiation model and program of traditional Chinese medicine based on the fuzzy recognition
inferredcites →https://doi.org/10.1109/bibmw.2010.5703891openalex-snapshot
Application of Bayesian network in information fusion analysis of four diagnostic methods of traditional Chinese medicine
inferredcites →https://doi.org/10.1109/bibmw.2010.5703892openalex-snapshot
Study on intelligent syndrome differentiation in Traditional Chinese Medicine based on information fusion technology
inferredcites →https://doi.org/10.1109/cisw.2007.4425516openalex-snapshot
Association Rules Mining of Traditional Chinese Medical Syndrome Differentiation Oriented
inferredcites →https://doi.org/10.1109/icdm.2010.127openalex-snapshot
Factorization Machines
inferredcites →https://doi.org/10.1109/itme.2008.4743965openalex-snapshot
Decision tree method to extract syndrome differentiation rules of posthepatitic cirrhosis in traditional Chinese medicine
inferredcites →https://doi.org/10.1109/pdcat.2006.51openalex-snapshot
Data Mining Application to Syndrome Differentiation in Traditional Chinese Medicine
inferredcites →https://doi.org/10.1111/dom.13760openalex-snapshot
Evidence and potential mechanisms of traditional Chinese medicine for the treatment of type 2 diabetes: A systematic review and meta‐analysis
inferredcites →https://doi.org/10.1145/2009916.2010002openalex-snapshot
Fast context-aware recommendations with factorization machines
inferredcites →https://doi.org/10.1145/2959100.2959134openalex-snapshot
Field-aware Factorization Machines for CTR Prediction
inferredcites →https://doi.org/10.1145/3124749.3124754openalex-snapshot
Deep & Cross Network for Ad Click Predictions
inferredcites →https://doi.org/10.1145/3308558.3313497openalex-snapshot
Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction
inferredcites →https://doi.org/10.1155/2015/125736openalex-snapshot
Syndrome Differentiation Analysis on Mars500 Data of Traditional Chinese Medicine
inferredcites →https://doi.org/10.1155/2015/936290openalex-snapshot
A Novel Classification Method for Syndrome Differentiation of Patients with AIDS
inferredcites →https://doi.org/10.1155/2016/3467067openalex-snapshot
More Than Needles: The Importance of Explanations and Self‐Care Advice in Treating Primary Dysmenorrhea with Acupuncture
inferredcites →https://doi.org/10.1155/2017/2697560openalex-snapshot
Syndrome Differentiation of IgA Nephropathy Based on Clinicopathological Parameters: A Decision Tree Model
inferredcites →https://doi.org/10.1155/2020/3951741openalex-snapshot
Traditional Chinese Medicine Treatment Associated with Female Infertility in Taiwan: A Population‐Based Case‐Control Study
inferredcites →https://doi.org/10.1155/2020/9081641openalex-snapshot
A Microcosmic Syndrome Differentiation Model for Metabolic Syndrome with Multilabel Learning
inferredcites →https://doi.org/10.1155/2021/5513748openalex-snapshot
Research on Diagnosis Prediction of Traditional Chinese Medicine Diseases Based on Improved Bayesian Combination Model
inferredcites →https://doi.org/10.1155/2021/5528550openalex-snapshot
Study of TCM Syndrome Identification Modes for Patients with Type 2 Diabetes Mellitus Based on Data Mining
inferredcites →https://doi.org/10.1155/2021/5550332openalex-snapshot
The Effectiveness of Traditional Chinese Medicine (TCM) as an Adjunct Treatment on Stable COPD Patients: A Systematic Review and Meta-Analysis
inferredcites →https://doi.org/10.1186/s12905-021-01532-wopenalex-snapshot
Prevalence, risk factors, and management practices of primary dysmenorrhea among young females
inferredcites →https://doi.org/10.1504/ijdmb.2011.041554openalex-snapshot
Study on intelligent syndrome differentiation in Traditional Chinese Medicine based on multiple information fusion methods
inferredcites →https://doi.org/10.19852/j.cnki.jtcm.2020.04.019openalex-snapshot
Clinical research linking Traditional Chinese Medicine constitution types with diseases: a literature review of 1639 observational studies.
inferredcites →https://doi.org/10.21037/apm-20-1734openalex-snapshot
A systematic review of the efficacy comparison of acupuncture and traditional Chinese medicine in the treatment of primary dysmenorrhea
inferredcites →https://doi.org/10.2196/17821openalex-snapshot
End-to-End Models to Imitate Traditional Chinese Medicine Syndrome Differentiation in Lung Cancer Diagnosis: Model Development and Validation
inferredcites →https://doi.org/10.24963/ijcai.2017/239openalex-snapshot
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
inferredcites →https://doi.org/10.3233/jifs-15958openalex-snapshot
An aided diagnosis model of sub-health based on rough set and fuzzy mathematics: A case of TCM
inferredcites →https://doi.org/10.3389/fphar.2019.00123openalex-snapshot
Network Pharmacology Databases for Traditional Chinese Medicine: Review and Assessment
inferredcites →https://doi.org/10.3389/fphar.2020.00670openalex-snapshot
Application of Neural Network and Cluster Analyses to Differentiate TCM Patterns in Patients With Breast Cancer
inferredcites →https://doi.org/10.3390/ijerph17186670openalex-snapshot
Living with Pain and Looking for a Safe Environment: A Qualitative Study among Nursing Students with Dysmenorrhea

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4835230openalex-extracted
From Tradition to Evidence-base: Leveraging TCM Human Use Experience in Modern Drug Development
inferred← citeshttps://doi.org/10.1002/mco2.70596openalex-snapshot
Traditional Chinese Medicine Modernization in Diagnosis and Treatment: Utilizing Artificial Intelligence and Nanotechnology
inferred← citeshttps://doi.org/10.1007/978-3-032-04555-3_4openalex-snapshot
Few-Shot Learning for Syndrome Differentiation with Two Prompts
inferred← citeshttps://doi.org/10.1007/978-981-97-2144-3_7openalex-snapshot
Studying Artificial Intelligence Neural Network Based TCM Diagnosis and Treatment Information Management System
inferred← citeshttps://doi.org/10.1016/j.artmed.2026.103372openalex-snapshot
A Character-level Convolutional Recurrent Interaction Network for joint traditional Chinese medicine clinical named entity recognition and relation extraction
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2023.107808openalex-snapshot
TLDA: A transfer learning based dual-augmentation strategy for traditional Chinese Medicine syndrome differentiation in rare disease
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2024.108074openalex-snapshot
A review of traditional Chinese medicine diagnosis using machine learning: Inspection, auscultation-olfaction, inquiry, and palpation
inferred← citeshttps://doi.org/10.1016/j.dcmed.2026.08.005openalex-snapshot
Algorithmic consistency and feature-leakage assessment of machine learning models for traditional Chinese medicine syndrome differentiation in herpes zoster: a cross-sectional study
inferred← citeshttps://doi.org/10.1016/j.engappai.2026.114562openalex-snapshot
Distribution-aware neural network: A novel patient representation learning algorithm for Traditional Chinese medicine diagnosis prediction
inferred← citeshttps://doi.org/10.1016/j.heliyon.2024.e35283openalex-snapshot
Predicting TCM patterns in PCOS patients: An exploration of feature selection methods and multi-label machine learning models
inferred← citeshttps://doi.org/10.1016/j.imr.2023.101019openalex-snapshot
Traditional Chinese medicine diagnostic prediction model for holistic syndrome differentiation based on deep learning
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FEMTL-DR: A feature-enhanced multi-task learning model for flexible drug recommendation
inferred← citeshttps://doi.org/10.1016/j.prmcm.2024.100535openalex-snapshot
From tradition to evidence-base: Leveraging TCM human use experience in modern drug development
inferred← citeshttps://doi.org/10.1016/s1875-5364(25)60983-6openalex-snapshot
Artificial intelligence in traditional Chinese medicine: from systems biological mechanism discovery, real-world clinical evidence inference to personalized clinical decision support
inferred← citeshttps://doi.org/10.1080/10255842.2024.2302225openalex-snapshot
Classification method of traditional Chinese medicine compound decoction duration based on multi-dimensional feature weighted fusion
inferred← citeshttps://doi.org/10.1080/18752160.2024.2339657openalex-snapshot
Pattern Identification and Acupuncture Prescriptions Based on Real-World Data Using Artificial Intelligence
inferred← citeshttps://doi.org/10.1093/bib/bbad102openalex-snapshot
TCMFP: a novel herbal formula prediction method based on network target’s score integrated with semi-supervised learning genetic algorithms
inferred← citeshttps://doi.org/10.1097/md.0000000000034085openalex-snapshot
Study on identification algorithm of traditional Chinese medicinals microscopic image based on convolutional neural network
inferred← citeshttps://doi.org/10.1109/access.2023.3313943openalex-snapshot
A Multi-Objective Hyper-Heuristic Clustering Algorithm for Formulas in Traditional Chinese Medicine
inferred← citeshttps://doi.org/10.1109/access.2024.3471889openalex-snapshot
KOA Massage Robot: A Study on the Reduction of TCM Manipulation Based on PSO-BP Algorithm
inferred← citeshttps://doi.org/10.1142/s0192415x24500265openalex-snapshot
Development and Application of Traditional Chinese Medicine Using AI Machine Learning and Deep Learning Strategies
inferred← citeshttps://doi.org/10.1142/s0192415x25500144openalex-snapshot
Chinese Medicine in the Era of Artificial Intelligence: Challenges and Development Prospects
inferred← citeshttps://doi.org/10.1186/s13020-025-01288-7openalex-snapshot
Development and application of artificial intelligence in traditional Chinese medicine research and development
inferred← citeshttps://doi.org/10.12677/acm.2026.161174openalex-snapshot
Review of Progress in the Application of Artificial Intelligence in Mongolian Medicine Syndrome Differentiation and Diagnosis/Treatment of Migraine
inferred← citeshttps://doi.org/10.21037/atm-22-6431openalex-snapshot
Current status and trends of artificial intelligence research on the four traditional Chinese medicine diagnostic methods: a scientometric study
inferred← citeshttps://doi.org/10.21203/rs.3.rs-9200456/v1openalex-snapshot
AI-powered TCM Diagnosis: A Multi-Task Learning Approach for Syndrome Element Diagnosis and Syndrome Differentiation
inferred← citeshttps://doi.org/10.2196/55972openalex-snapshot
The Effect of a Traditional Chinese Medicine Course on Western Medicine Students’ Attitudes Toward Traditional Chinese Medicine: Self-Controlled Pre-Post Questionnaire Study
inferred← citeshttps://doi.org/10.2196/58491openalex-snapshot
AI: Bridging Ancient Wisdom and Modern Innovation in Traditional Chinese Medicine
inferred← citeshttps://doi.org/10.2298/vsp240829014xopenalex-snapshot
Evaluation of clinical application effect of traditional Chinese medicine fumigation technology on postoperative patients with anorectal diseases
inferred← citeshttps://doi.org/10.2478/amns-2025-0973openalex-snapshot
Application of Chinese medicine evidence classification algorithm in the identification and treatment of Parkinson’s disease
inferred← citeshttps://doi.org/10.3389/fcimb.2024.1395267openalex-snapshot
Traditional Chinese herbal formulas modulate gut microbiome and improve insomnia in patients with distinct syndrome types: insights from an interventional clinical study
inferred← citeshttps://doi.org/10.3389/fmed.2026.1789294openalex-snapshot
Intervention–analog association between traditional Chinese medicine syndrome load and lipid/C-reactive protein biomarkers: a single-center retrospective cohort study using target trial emulation
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Digital intelligence technology: new quality productivity for precision traditional Chinese medicine
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Integrating Traditional Nutritional Wisdom into Digital Nutrition Platforms: Toward Culturally Adaptive and Inclusive Health Technologies
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Enhancing traditional Chinese medicine diagnostics: Integrating ontological knowledge for multi-label symptom entity classification
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