用于预测SAD的方法、装置、计算机可读存储介质及电子设备

By acquiring information on height, weight, age, and gender, calculating BMI, and performing regression analysis, the probability of SAD can be predicted. This solves the problem of unclear physiological age thresholds for SAD in healthy Chinese populations, enabling efficient screening of SAD and selection of individualized treatment plans, while reducing diagnostic costs.

CN121101526BActive Publication Date: 2026-07-17SHANGHAI FIRST PEOPLES HOSPITAL

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANGHAI FIRST PEOPLES HOSPITAL
Filing Date
2025-09-05
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In the healthy population in China, current technologies have not clearly defined the physiological age threshold for small airway dysfunction (SAD), leading to missed diagnoses and misdiagnoses in the diagnosis and treatment of asthma and COPD. Furthermore, existing methods are complex and costly.

Method used

By obtaining patients' height, weight, age, and gender information, calculating body mass index (BMI) and performing regression processing, the probability of SAD (P-value) is predicted using a predictive model. When the P-value is greater than 0.22223, individuals with SAD are selected.

Benefits of technology

It enables simple and efficient screening for SAD, reduces the rate of missed diagnoses and misdiagnoses, provides a basis for the diagnosis and treatment of asthma and COPD, reduces examination costs, and supports the selection of individualized treatment plans.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明涉及疾病的预测评估技术领域,具体涉及一种用于预测SAD的方法,其主要特点是,所述的方法包括:获取预测对象的身高、体重、年龄及性别,据身高、体重计算BMI值,对BMI、年龄及性别三个数据进行回归处理,获得概率P值,当P值大于预设值时,则预测该预测对象存在SAD。本发明还提供了相应的预测装置、计算机可读存储介质及其电子设备。所采用的3个临床检查指标均通过问诊得到,无需进行额外检查。
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