The First Affiliated Hospital of Henan University of Traditional Chinese Medicine
Zhengzhou, Henan, 450000, China
NCT Number: NCT06918353
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.
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Observational
Zhengzhou, Henan, 450000, China
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.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Diagnosis and severity grading of AECOPD disease, as well as assessment of traditional Chinese medicine syndromes
Time frame: 24 hours
The influencing factors of the severity of AECOPD were evaluated through clinical investigation questionnaires.
Questionnaire Title: Clinical Investigation Questionnaire on Influencing Factors of AECOPD Severity.
The questionnaire adopts the scoring method, which is divided into "very unimportant", "not important", "average", "important" and "very important", and the corresponding values are assigned as 1, 2, 3, 4 and 5 respectively.The higher the score is, the more significant the result is.
Contact information is provided by the study sponsor or research team.
Henan University of Traditional Chinese Medicine
Other
Construction and Evaluation of the Severity Assessment Model for AECOPD With Combination of Disease and Syndrome Based on Machine Learning
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