运行临床语音分析:从特征转向实体临床影响的测量
1Arizona State University, Tempe.
概括
这项研究将临床语音分析从一般特征转变为经过验证的语音测量,以更好地应用于现实世界. 开发特定的语音测量方法可以提高模型的概括性和医疗保健中的临床相关性.
科学领域:
- 语音语言病理学 语言病理学
- 生物医学工程 生物医学工程
- 临床信息学是一种临床信息学.
背景情况:
- 临床语音分析中的传统监督机器学习在概括性和解释性方面面临挑战.
- 高维语音特征往往缺乏直接的临床相关性.
- 需要验证的语音测量方法来运行特定的临床构造.
研究的目的:
- 倡导临床语音分析的方法转变.
- 从高维语音特征过渡到临床验证的语音措施.
- 在现实世界医疗保健环境中提高模型通用性和临床适用性.
主要方法:
- 提出一个框架,重点关注与特定语音构造相关的验证语音测量.
- 详细介绍一个案例研究关于开发一个关节精度测量用于肌缩侧面硬化症 (ALS).
- 概述从构思到食品和药物管理局 (FDA) 突破状态指定的过程.
主要成果:
- 将关节精度运用到一个可量化的措施中,产生了强大的,临床上有意义的结果.
- 经过验证的测量方法与临床状态和语音可理解性有很高的相关性.
- 该措施在临床试验中的应用导致了FDA的突破性状态指定.
结论:
- 过渡到语音测量为临床语音分析开发提供了有针对性的方法.
- 这种转变确保模型在技术上是合理的,在临床上是相关的,并且可以解释.
- 鼓励在临床环境中采用这种方法来进行可解释的语音表示.
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