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不确定性量化对医疗保健和生物系统的挑战和机遇
Louise M Kimpton1, L Mihaela Paun2,3, Mitchel J Colebank4,5
1Department of Mathematics and Statistics, University of Exeter, Exeter, UK.
不确定性量化 (UQ) 对于医疗保健中的计算模型至关重要,但研究不足. 本次审查强调了UQ的缺陷和促进生物和医疗保健系统建模的机会.
科学领域:
- 计算建模计算建模
- 生物医学工程 生物医学工程
- 医疗保健系统 医疗保健系统
背景情况:
- 不确定性量化 (UQ) 在各种科学领域的计算建模和统计预测中至关重要.
- 它在生物和医疗保健模型中的应用仍然不发达,存在重大知识差距.
- 个性化医学和数字双胞胎的兴起需要强大的UQ才能获得临床成功.
研究的目的:
- 强调UQ在医疗保健和生物系统中的关键重要性.
- 在这些领域内识别UQ方法的现有缺陷.
- 提供UQ方法及其应用的概述.
主要方法:
- 在计算建模中对UQ现有文献的审查.
- 对UQ在非生物和生物系统中的应用进行分析.
- 识别当前的差距和未来的机会,在医疗保健中开发UQ.
主要成果:
- UQ的利用不足,缺乏对生物和医疗保健建模的全面理解.
- 目前的UQ方法在临床环境中面临挑战.
- 在个性化医学和数字双胞胎领域,UQ的进步存在重大机遇.
结论:
- 解决UQ缺陷对于成功实施医疗保健中的计算模型至关重要.
- 需要在UQ领域进行进一步的研究和开发,以支持患者特定的建模和临床决策.
- 本综述作为一个介绍,专注于生物和医疗保健系统的UQ的一个特殊问题.
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