人工智能用于构建痴呆风险预测模型的研究进展
Research progress of application of artificial intelligence in dementia risk prediction model
姚文艳 1臧福波1
作者信息
- 1. 大连市友谊医院,辽宁 大连 116001
- 折叠
摘要
痴呆是一组影响思维、情绪和行为的症状.它严重影响患者的生活质量,并可能导致死亡.准确预测痴呆的发生风险对于早期干预和预防至关重要.人工智能在临床预测模型的应用是一个非常热门和有前景的领域,它可以利用大量的数据和复杂的算法来提高诊断和预后的准确性和效率.因此,本文综述了痴呆风险预测模型的研究进展,探讨人工智能在痴呆风险预测模型中的应用前景,并指出研究中的挑战及未来研究方向,以促进其发展和临床应用.
Abstract
Dementia is a group of symptoms that affect thinking,mood and behavior.It seriously affects patients'quality of life and can lead to death.Accurate prediction of dementia risk is essential for early intervention and prevention.The application of artificial intelligence to clinical predictive models is a very popular and promising field,which can leverage large amounts of data and complex algorithms to improve the accuracy and efficiency of diagnosis and prognosis.Therefore,this paper reviews the research progress of dementia risk prediction models,discusses the application prospects of artificial intelligence in dementia risk prediction models,and points out the challenges in research and future research directions to promote its development and clinical application.
关键词
痴呆/风险预测模型/人工智能/机器学习/深度学习Key words
Dementia/Risk prediction model/Artificial intelligence technology/Machine learning/Deep learning引用本文复制引用
出版年
2024
NETL
NSTL
万方数据