hART:深度学习信息化的寿命心力衰竭风险轨迹
Harry Moroz1, Yue Li2, Ariane Marelli1
1Department of Medicine, McGill University of Health Centre, Montreal, QC, Canada.
International journal of medical informatics
|February 23, 2024
概括
一个新的深度学习模型hART预测了先天性心脏病 (CHD) 患者的终身心力衰竭 (HF) 风险. 它通过分析过去的医疗事件来改善预测,为长期高频轨迹提供更好的洞察力.
科学领域:
- 心脏病学 心脏病学
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 心力衰竭 (HF) 存在持续的风险和长期的并发症,特别是在患有先天性心脏病 (CHD) 和其终身后果的患者中.
- 遗传性心脏病 (CHD) 患者在一生中面临着管理心力衰竭 (HF) 风险的独特挑战.
研究的目的:
- 开发hART (心力衰竭注意力风险轨迹),这是一个深度学习模型,用于预测CHD患者的HF轨迹.
- 通过分析复杂的病史来提高未来心力衰竭风险的预测.
主要方法:
- hART利用一个掩盖的自我注意机制来识别和优先考虑相关的过去的医疗事件,以预测HF风险.
- 该模型捕捉了医疗事件之间的上下文关系,以了解个体患者的发展轨迹.
- 来自北克CHD数据库 (137,493名患者,35年随访) 的大量队列被用于培训和验证hART.
主要成果:
- 在HF风险预测方面,hART实现了33%的改进,精度回忆曲线下的面积为28%.
- 严重的CHD病变与终身持续升高的HF风险相关.
- 遗传综合征与50岁之前的高HF风险有关,随着时间的推移,出生状况的影响会减少.
- 干预的时间,如心律失常手术显著影响了长期的HF风险,早期手术的影响较小.
结论:
- 通过分析病史中的短期和长期依赖,hART可以有效地检测心脏病患者的重大终身HF风险.
- 该模型提供了一种新的方法来理解和预测与先天性心脏病相关的终身HF风险.
更多相关视频
04:05Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis
Published on: June 30, 2023
1.8K
07:49Author Spotlight: Investigating HR-Dependent Cardiac Function in Mouse Models Through a Novel Atrial-Pacing Approach
Published on: July 21, 2023
1.4K
相关概念视频
01:17Pathophysiology of Heart Failure
1.6K
Heart failure (HF) is a progressive syndrome involving ventricles that leads to inadequate cardiac output. It can be classified based on location and output or ejection fraction. Ejection fraction (EF) is an essential measurement in the diagnosis and surveillance of HF. Reduced EF corresponds to systolic heart failure (HFrEF). However, HF with preserved ejection fraction (HFpEF) is becoming increasingly prevalent. Also known as diastolic HF, this form of HF is related to aging. The...
1.6K
01:26Longitudinal Studies
160
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
160
02:20Longitudinal Research
12.0K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
12.0K