使用机器学习模型预测青少年患喘的风险
Matthew Xie1,2, Chenliang Xu3
1Pittsford Sutherland High School, Pittsford, New York, United States of America.
PloS one
|November 12, 2025
概括
机器学习模型现在可以使用国家调查数据预测儿童喘. 后勤回归表现最好,有助于早期检测和干预这种常见的呼吸道疾病.
科学领域:
- 儿科呼吸系统医学 儿科呼吸系统医学
- 计算健康科学 计算健康科学
- 流行病学 流行病学
背景情况:
- 喘严重影响数百万儿童,但对青少年有效的预测模型很少.
- 早期识别儿童喘风险对于及时干预和管理至关重要.
- 现有的预测工具往往缺乏广泛临床应用所需的性能.
研究的目的:
- 开发和验证用于预测青少年喘发展的机器学习模型.
- 利用现有的国家调查数据来构建可靠的预测模型.
- 通过使用先进的分析技术,确定与儿童喘相关的关键风险因素.
主要方法:
- 分析了来自9,716名青年和家长记录的2021-2022年国家健康访谈调查 (NHIS) 数据的综合分析.
- 使用采样技术开发多种机器学习模型 (XGBoost,神经网络,随机森林,SVM,物流回归).
- 使用2023年NHIS数据验证模型,并通过SHAP值检查风险因素关联.
主要成果:
- 大多数类型的低采样改善了模型性能,后勤回归实现了0.7654的曲线下面积 (AUC) 和0.3452的F1得分.
- 确定了已知的风险因素 (性别,社会经济地位) 和新的因素,如最近使用处方药,年龄和一般健康状况.
- 机器学习模型在预测青少年队列中喘发展方面表现良好.
结论:
- 通过使用NHIS数据,成功开发了高性能机器学习模型来预测青少年的喘.
- 这些模型为儿童群体的早期查和喘检测提供了一个有希望的工具.
- 调查结果突出了可访问的国家数据在促进儿科呼吸系统健康研究方面的潜力.
更多相关视频
07:31Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
7.5K
06:22Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
Published on: September 19, 2025
414
相关概念视频
01:29Asthma-I: Introduction
3.3K
Asthma is a chronic respiratory ailment that requires careful management due to its varying symptoms and influencing factors. It is characterized by airway inflammation, bronchial hyperresponsiveness, and reversible airflow obstruction, leading to symptoms like wheezing, shortness of breath, chest tightness, and coughing. The symptom frequency and intensity may vary considerably over time. It is also linked to immune system responses to allergens and irritants, highlighting the complex...
3.3K
01:26Asthma-II: Pathophysiology and Classification
4.0K
Asthma is a prevalent chronic respiratory condition marked by inflammation and hyperresponsiveness of the airways. Its pathophysiology involves complex interactions among inflammatory pathways, immune responses, and neural mechanisms.
Additionally, environmental and genetic factors play crucial roles in determining an individual's susceptibility to asthma and the severity of their condition.
Critical processes in asthma pathophysiology include:
Additionally, environmental and genetic factors play crucial roles in determining an individual's susceptibility to asthma and the severity of their condition.
Critical processes in asthma pathophysiology include:
4.0K
01:18Steps in Outbreak Investigation
476
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
476
01:20Asthma: Pathogenesis and Management
1.2K
Asthma is a chronic pulmonary condition involving inflammation of the airways, hyper-reactivity, and reversible obstruction of the airways. This condition can significantly impact a person's quality of life, making breathing difficult and leading to distressing symptoms.
Asthma is classified as allergic and non-allergic. Allergens such as dust mites, pollen, and pet dander trigger allergic asthma, while factors like cold air, intense emotions, or exercise can induce non-allergic asthma.
Asthma is classified as allergic and non-allergic. Allergens such as dust mites, pollen, and pet dander trigger allergic asthma, while factors like cold air, intense emotions, or exercise can induce non-allergic asthma.
1.2K
01:30Asthma-IV: Diagnostic and Management
3.1K
The diagnosis and management of asthma are comprehensive, encompassing clinical assessments, lung function tests, and pharmacological interventions. Here's an overview:
Clinical Assessment for Asthma:
This is the first step in diagnosing and managing asthma. It includes:
Clinical Assessment for Asthma:
This is the first step in diagnosing and managing asthma. It includes:
3.1K