基于辐射脉冲波分析的多囊卵巢综合征的机器学习分类
Jiekee Lim1, Jieyun Li1, Xiao Feng2
1School of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, P. R. China.
BMC complementary medicine and therapies
|November 14, 2023
概括
机器学习模型使用辐射脉冲波分析准确预测多囊卵巢综合征 (PCOS). 这种非侵入性方法有助于早期PCOS检测和监测,将传统中医脉冲诊断与现代技术相结合.
科学领域:
- 生物医学工程 生物医学工程
- 医疗信息学 医疗信息学
- 内分泌学 在内分泌学.
背景情况:
- 多囊卵巢综合征 (PCOS) 与内分泌系统疾病和潜在的血管功能障碍有关.
- 传统中医药 (TCM) 的客观脉冲诊断可以通过现代分析技术来增强.
研究的目的:
- 通过机器学习 (ML) 使用辐射脉冲波参数来分类和预测PCOS.
- 为了验证脉冲波分析对PCOS诊断和监测的有用性.
- 将TCM中的客观脉冲诊断与当代医疗技术相结合.
主要方法:
- 一项涉及459名参与者的病例控制研究 (316名PCOS患者,143名健康患者).
- 对辐射脉冲波参数的分析,确定群体之间的显著差异.
- 应用和评估七个监督的ML分类模型,包括投票和长短期记忆 (LSTM) 网络.
主要成果:
- 在PCOS和健康组之间观察到脉冲波参数 (h3/h1,w/t,h4,t4,t,As,h4/h1) 的显著差异 (P < 0.01).
- 投票和LSTM模型表现出卓越的性能,测试准确度为72.174%,F1得分为0.818.
- 曲线下的面积 (AUC) 值达到0.715的投票和0.722的LSTM.
结论:
- 射线脉冲波信号可以准确识别PCOS患者,支持早期检测和监测.
- 基于ML的方法为客观PCOS风险评估提供了有价值的工具.
- 这项技术将TCM的脉冲诊断原则与移动健康技术相结合,以增强临床应用.
相关概念视频
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Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
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01:11Assessment of radial pulse
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Assessment of Radial Pulse
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01:13Special considerations while measuring pulse
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01:25Assessment of apical radial pulse
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Apical-Radial (A-R) Pulse Assessment
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Pre-Procedural Preparation
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Pre-Procedural Preparation
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01:16Pulse
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01:17Pulse amplitude and quality
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