关键词: biomedical sensors cardiovascular disease digital biomarkers digital health digital health interventions health monitoring health promotion mobile health personalized prevention precision health predictive analytics preventive medicine telehealth wearable technology

来  源:   DOI:10.1093/jamiaopen/ooae027   PDF(Pubmed)

Abstract:
UNASSIGNED: We introduce the Bitemporal Lens Model, a comprehensive methodology for chronic disease prevention using digital biomarkers.
UNASSIGNED: The Bitemporal Lens Model integrates the change-point model, focusing on critical disease-specific parameters, and the recurrent-pattern model, emphasizing lifestyle and behavioral patterns, for early risk identification.
UNASSIGNED: By incorporating both the change-point and recurrent-pattern models, the Bitemporal Lens Model offers a comprehensive approach to preventive healthcare, enabling a more nuanced understanding of individual health trajectories, demonstrated through its application in cardiovascular disease prevention.
UNASSIGNED: We explore the benefits of the Bitemporal Lens Model, highlighting its capacity for personalized risk assessment through the integration of two distinct lenses. We also acknowledge challenges associated with handling intricate data across dual temporal dimensions, maintaining data integrity, and addressing ethical concerns pertaining to privacy and data protection.
UNASSIGNED: The Bitemporal Lens Model presents a novel approach to enhancing preventive healthcare effectiveness.
摘要:
我们介绍双时透镜模型,使用数字生物标志物预防慢性病的综合方法。
双时透镜模型集成了变点模型,专注于关键的疾病特定参数,和循环模式模型,强调生活方式和行为模式,早期风险识别。
通过合并变化点和循环模式模型,双时透镜模型提供了一个全面的方法来预防保健,能够更细致地理解个人的健康轨迹,通过其在心血管疾病预防中的应用证明。
我们探索双时透镜模型的好处,通过整合两个不同的镜头,突出了其个性化风险评估的能力。我们还承认与跨双重时间维度处理复杂数据相关的挑战,维护数据完整性,并解决与隐私和数据保护有关的道德问题。
双时态透镜模型提出了一种提高预防性医疗效果的新方法。
公众号