The Severity Assessment Model for AECOPD With Combination of Disease and Syndrome

Acute Exacerbation of Chronic Obstructive Pulmonary Disease

Acute Exacerbation of Chronic Obstructive Pulmonary Disease, Severity Assessment Model, Combination of Disease and Syndrome, Classification and Regression Trees, Artificial Neural Network

The establishment of the AECOPD severity assessment model can quickly and accurately evaluate the condition, which is of great significance for standardizing diagnosis and treatment, improving efficacy, and improving prognosis. At the same time, it can provide ideas and methods for the research of disease assessment models in related fields.

Accurate assessment of the condition is the prerequisite and basis for standardized clinical treatment. Traditional Chinese medicine has shown good efficacy and advantages in treating AECOPD, but currently there is no ideal standard for judging the severity, nor is there an accurate, practical, and TCM specific disease assessment tool. Therefore, this project integrates multidimensional variables of traditional Chinese and Western medicine, and intends to conduct research on the construction of a disease syndrome combined AECOPD disease assessment model through literature review, expert consultation, clinical investigation, and machine learning algorithms, and establish preliminary grading standards for the severity of AECOPD disease. Ultimately, it provides ideas and methods for the rapid and accurate assessment of AECOPD, standardized diagnosis and treatment, improved efficacy, improved prognosis, and research on disease assessment models in related fields.

China