University of Science and Technology Beijing

Peking Union Medical College

Yunfeng Peng

Shichao Wang

Meihua Piao

Haoming Ma

Longhao Zhang

Hongzhen Cui

Xiaoyue Zhu

The present disclosure provides an intelligent decision reasoning method for type-based diagnosis and treatment of a cardiovascular disease, a device, and a product, and relates to the medical field. The present disclosure adopts a risk factor mining model of a cardiovascular disease and a drug attribute association mining model of the cardiovascular disease to extract relevant information from cardiovascular data, achieving precise prediction of a fine-grained cardiovascular disease type and effectively promoting precision medicine. Based on a clinical diagnostic dataset and a clinical symptom diagnosis knowledge system of the cardiovascular disease, a type-based auxiliary diagnosis model of the cardiovascular disease is constructed, and intelligent decision reasoning is performed to obtain an association rule. This achieves efficient integration of type-based decision support of the cardiovascular disease and a medical convalescence knowledge base of the cardiovascular disease, and enhances quality of a cardiovascular medical convalescence association rule set.

Intelligent decision reasoning method for type-based diagnosis and treatment of cardiovascular disease, device, and product

Growing community of inventors

Beijing, China

Yunfeng Peng