世界科学技术-中医药现代化2025，Vol.27Issue(9)：2444-2452,9.DOI:10.11842/wst.20240819002
骨质疏松症病证结合风险预测模型研究进展及优化思路
Research Progress and Optimization Ideas of Risk Prediction Models Combining Osteoporosis Syndrome and Disease
摘要
Abstract
The risk prediction approach integrating disease and syndrome aligns more precisely with the clinical diagnosis and treatment needs of osteoporosis.Prior research has established a consensus on the model development methodology encompassing"Target outcome selection→ Key information collection→ Data mining and modeling →Model performance evaluation".Building on this foundation,a cohort of osteoporosis patients and syndrome cases with stable follow-up is established.Utilizing artificial intelligence algorithms,critical information in traditional Chinese medicine(TCM)symptoms and syndromes is objectively characterized and quantified alongside imaging data.Employing multi-omics sequencing technology,we seek to identify highly specific microscopic molecular information,analyze potential correlations among various dimensions of information,and develop a multidimensional risk prediction model for osteoporosis with distinctive TCM attributes.This model aims to identify biomarkers with both"disease"and"syndrome"characteristics,thereby advancing the precision diagnosis and treatment system for osteoporosis.关键词
骨质疏松症/病证结合/风险评估/机器学习算法Key words
Osteoporosis/Disease-syndrome combination/Risk assessment/Machine learning algorithms分类
医药卫生引用本文复制引用
魏戌,金子开,章轶立,申浩,谢雁鸣,朱立国..骨质疏松症病证结合风险预测模型研究进展及优化思路[J].世界科学技术-中医药现代化,2025,27(9):2444-2452,9.基金项目
国家自然科学基金委员会专项项目(T2341023):2型糖尿病合并骨质疏松症"未病"状态表征与临界预警机制研究,负责人:魏戌 （T2341023）
北京市科学技术委员会首都临床特色诊疗技术研究及转化应用项目(Z221100007422074):基于远期随访的社区绝经后骨质疏松症病证结合早期预警新方法研究,负责人:魏戌. （Z221100007422074）
