腰椎间盘早期退变智能诊断方法研究 |
修订日期:2022-09-06 点此下载全文 |
引用本文:汤阳杰,吴晓锋,欧阳林,等.腰椎间盘早期退变智能诊断方法研究[J].医学信息学杂志,2023,44(2):42-46 |
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基金项目:福建省区域发展项目“基于多模态功能影像的腰椎间盘退变代谢组学研究”(项目编号:2019Y3007)。 |
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中文摘要:分析腰椎间盘早期退变诊断现状及问题,提出基于代谢组学和标签分布学习方法可建立腰椎间盘早期退变分类器,并利用PT-Bayes、AA-BP和SA-IIS算法实施构建,通过实际计算分析各分类器的性能、应用意义及效果。 |
中文关键词:腰椎间盘早期退变 代谢组学 标签分布学习 分类器 智能诊断 |
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Study on Intelligent Diagnostic Methods of Early Lumbar Disc Degeneration |
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Abstract:The present situation and problems of diagnosis of early lumbar disc degeneration are analyzed. The classifiers for early lumbar disc degeneration(LDD) are proposed based on metabonomics and label distribution learning. The LDD classifiers based on PT-Bayes, AA-BP and SA-IIS algorithms are established, and the performance, application significance and effect of each classifier are analyzed by practical calculation. |
keywords:early lumbar disc degeneration metabonomics label distribution learning classifier intelligent diagnosis |
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