PAHFKB:一个知识库,以支持个性化的运动处方建议,以预防和干预心力衰竭
Ke Zhang1,2, Shumin Ren1,2, Ting Bao2,3
1Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Digital health
|November 21, 2024
概括
这项研究开发了PAHFKB,这是针对心力衰竭 (HF) 个性化运动处方的知识库. PAHFKB组织体育活动 (PA) 数据,以改善HF管理和数字健康干预.
科学领域:
- 心脏病学 心脏病学
- 数字健康数字健康
- 运动生理学 运动生理学
背景情况:
- 目前的运动指南缺乏针对心力衰竭 (HF) 等复杂疾病的个性化.
- 个性化的运动处方 (EP) 对于有效的高压管理至关重要.
- 需要一个基于知识的系统来整合体力活动 (PA) 和高频数据.
研究的目的:
- 开发PAHFKB (身体活动-心力衰竭知识库),用于HF个性化EP的系统.
- 挖掘,分析和组织有关PA和HF的现有文献和数据.
- 为个性化PAHF建立数据标准,并在数字健康领域推进AI.
主要方法:
- 从PubMed.收集了关于PA和HF的3186个引用.
- 使用实体关系模型定义的数据标准.
- 使用MySQL和ASP.NET开发PAHFKB,集成证据,EP和可视化工具.
主要成果:
- PAHFKB纳入了357项研究 (1989-2021),来自43个国家的90多万名受试者.
- 提取了1010个PAHF项目,包括357个练习方案,333个结果和42个风险因素.
- 最常见的方案是每周3次60分钟的中等强度有氧运动.
结论:
- PAHFKB通过各种工具和可视化支持个性化EP用于HF管理.
- 该系统促进了个性化的决策支持,数据标准和数字健康中的可解释AI.
- PAHFKB旨在加强临床实践和数字治疗,以预防和干预HF.
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