DIGIPREDICT:喘发作的生理,行为和环境预测因素-使用数字标记和人工智能进行的前性观察研究-研究协议
Amy Hai Yan Chan1, Braden Te Ao2, Christina Baggott3
1School of Pharmacy, The University of Auckland Faculty of Medical and Health Sciences, Auckland, Region, New Zealand a.chan@auckland.ac.nz.
BMJ open respiratory research
|May 22, 2024
概括
这项研究旨在通过智能设备和人工智能来识别喘发作的早期数字标记. 目标是创建一个个性化的预测模型,用于及时警告喘发作.
科学领域:
- 数字健康数字健康
- 医学中的人工智能
- 喘研究的研究
背景情况:
- 喘发作是致病率和死亡率的重要原因.
- 早期检测和及时治疗对于预防严重喘恶化至关重要.
- 攻击之前的微妙的生理和行为变化往往无法被识别,这表明需要技术解决方案.
研究的目的:
- 使用智能设备传感器识别喘发作早期数字标志物.
- 为了利用健康,环境和人工智能数据来预测喘发作.
- 开发一个个性化的风险预测模型,用于早期的喘发作警告.
主要方法:
- 对300名参与者 (≥12年) 的前性研究,他们最近有中度/重度喘发作.
- 在6个月内使用智能手表,智能吸入器,峰值流量计和咳监测应用程序.
- 收集的参与者数据 (社会人口统计,健康,技术接受) 和环境数据 (天气,空气质量).
主要成果:
- 机器学习分析集成数据集,以开发预测模型.
- 喘发作通过自我报告和临床记录得到证实.
- 目前正在进行数据分析,以完善风险预测模型.
结论:
- 该DIGIPREDICT研究旨在建立一种新的技术方法来预测喘发作.
- 早期识别数字生物标志物可能会导致个性化干预和改善喘管理.
- 这项研究有可能显著降低喘相关的发病率和死亡率.
更多相关视频
15:00Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
Published on: February 3, 2023
2.5K
11:21Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
8.2K
相关概念视频
Asthma-I: Introduction
2.6K
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...
2.6K
Asthma-IV: Diagnostic and Management
2.5K
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:
2.5K
Asthma-II: Pathophysiology and Classification
2.6K
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:
2.6K
Asthma: Pathogenesis and Management
388
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.
388
