基于量表测评的帕金森用药推荐模型研究

发布时间：2018-03-09 01:20

本文选题：帕金森用药推荐　切入点：主成分分析　出处：《南京大学》2014年硕士论文　论文类型：学位论文

【摘要】：帕金森病是一种常见于中老年的神经变性疾病,但随着人们生活的多样化,中年以下的人群也有可能患帕金森病。迄今为止,帕金森病是一种没有办法治愈并且病情逐步加重的疾病,但是良好的药物和必要的治疗手段可以帮助帕金森病人恢复机能。目前,帕金森病诊断最重要的依据来自于帕金森病量表的测评结果。基于此,研究一种基于量表测评的自动识别帕金森病和帕金森用药推荐的方法对于预防、治疗帕金森具有非常重要的意义。本文采用机器学习技术对帕金森用药推荐模型进行了研究,主要工作如下： 1)提出一种基于支持向量机的自动识别帕金森病的模型,该模型主要是基于一张设计的新量表快速识别帕金森病,而新量表则是基于主成分分析的帕金森病量表优化算法设计的。实验发现,用仅占原西医量表总问题数21%的新量表能达到与原量表相当的帕金森病识别水平。 2)针对帕金森用药推荐模型,结合了“k标签子集准则”和“k近邻准则”,提出了基于混合策略的多标签学习框架用于帕金森病药物推荐。实验发现,该算法在帕金森病量表-用药数据集上比ML-kNN具有更好的性能。 3)基于上述工作,设计并实现了基于“云平台+终端”的帕金森综合诊疗平台,分别开发了该平台的服务器系统和Android客户端。
[Abstract]:Parkinson's disease is a common neurodegenerative disease in the middle and old age, but with the diversity of people's lives, people under middle age are also likely to suffer from Parkinson's disease. Parkinson's disease is a disease that can't be cured and is getting worse, but good drugs and necessary treatments can help Parkinson's patients recover. The most important basis for the diagnosis of Parkinson's disease comes from the results of the Parkinson's disease scale. The treatment of Parkinson's disease is of great significance. In this paper, the machine learning technology is used to study the Parkinson's drug recommendation model. The main work is as follows:. 1) A model of automatic recognition of Parkinson's disease based on support vector machine (SVM) is proposed. The model is mainly based on a new scale designed to quickly identify Parkinson's disease. The new scale was designed based on the principle component analysis (PCA) algorithm of Parkinson's disease scale. It was found that the new scale, which only accounted for the total number of problems in the original Western medicine scale (21%), could achieve the same level of Parkinson's disease recognition as the original scale. 2) according to Parkinson's drug recommendation model, combining "k-label subset criterion" and "k-nearest neighbor criterion", a multi-label learning framework based on mixed strategy is proposed for drug recommendation of Parkinson's disease. The algorithm has better performance than ML-kNN in Parkinson's disease scale-drug data set. 3) based on the above work, the Parkinsonian integrated diagnosis and treatment platform based on "cloud platform terminal" is designed and implemented, and the server system and Android client of the platform are developed respectively.
【学位授予单位】：南京大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：R742.5;TP18

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