中国中西医结合杂志2025，Vol.45Issue(10)：1165-1172,8.DOI:10.7661/j.cjim.20250819.285
智能融合赋能中医四诊合参客观化
Intelligent Integration Empowers Objectification of "Four Diagnostic Methods Integration" in Chinese Medicine
摘要
Abstract
This study explores the objectification of Chinese Medicine(CM)diagnosis,focusing on the "Four Diagnostic Methods Integration" through intelligent integration methods.This paper proposed a framework that leverages multi-granularity learning and multi-source information fusion to address the challenges posed by the multi-source,multimodality,spatiotemporal dynamics,complexity and uncertainty inherent in CM diagnostic data.First,the multimodal,multi-source and uncertain nature of CM diagnostic data was tackled using preprocessing techniques,followed by the construction of a spatiotemporal data representation model.This is achieved through multi-granularity computing,multimodal deep learning,and spatiotemporal knowledge graph embedding.Furthermore,a multi-source information fusion model is developed to identify hidden feature associations and intrinsic patterns within CM diagnostic data.This study provides a scientific fusion model for the objectification of the "Four Diagnostic Methods Integration" facilitating the integration of traditional CM diagnostic methods with modern information technologies.The findings offer both theoretical and methodological support for the modernization of CM diagnosis and treatment.关键词
四诊合参/客观化/人工智能/多粒度融合/多源信息融合/时空性Key words
Four Diagnostic Methods Integration/objectification/artificial intelligence/multi-granularity fusion/multi-source information fusion/temporality and spatiality引用本文复制引用
张鹏飞,曾鹏飞,王德贤,何昭璇,曾芳..智能融合赋能中医四诊合参客观化[J].中国中西医结合杂志,2025,45(10):1165-1172,8.基金项目
国家自然科学基金项目(No.62406044) （No.62406044）
四川省自然科学基金项目(No.2024NSFSC0721,No.2023NSFSC1820) （No.2024NSFSC0721,No.2023NSFSC1820）
国家资助博士后研究人员计划(No.GZB20230092) （No.GZB20230092）
中国博士后科学基金项目(No.2023M740383) （No.2023M740383）
