轻度认知功能障碍患者预后情况的评估预测模型
发布时间：2018-08-19 06:56
【摘要】：目的通过数学方法建立轻度认知功能障碍患者24个月预后的判别评估模型。方法通过对152例轻度认知功能障碍患者的27项临床指标的分析,分别运用贝叶斯判别分析、决策树、BP神经网络、模糊C均值聚类及K均值聚类进行评估预测,选择准确率较高的判别模型。结果通过差异性检验,根据P0.01共筛选出6项指标,建立5种评估预测模型,经过100次随机抽样诊断模拟,得到贝叶斯判别分析在轻度认知功能障碍患者预后评估的平均正确率达74.86%,最高正确率达到84.21%。结论本研究建立的数学模型能提高轻度认知功能障碍患者24个月预后的评估准确率。
[Abstract]:Objective to establish a 24-month prognostic model for patients with mild cognitive impairment by mathematical method. Methods based on the analysis of 27 clinical indexes in 152 patients with mild cognitive impairment, Bayesian discriminant analysis, decision tree BP neural network, fuzzy C-means clustering and K-means clustering were used to evaluate and predict. Select the discriminant model with high accuracy. Results through the difference test, six indexes were screened out according to P0.01, 5 kinds of evaluation and prediction models were established, and 100 random sampling diagnoses were simulated. The average correct rate of Bayesian discriminant analysis in prognosis evaluation of patients with mild cognitive impairment was 74.86 and the highest accuracy was 84.21. Conclusion the mathematical model established in this study can improve the accuracy of 24 months prognosis in patients with mild cognitive impairment.
【作者单位】： 第三军医大学学员旅5营;第三军医大学生物医学工程系生物医学材料学教研室;第三军医大学生物医学工程系数学与生物数学教研室;
【基金】：重庆市自然科学基金(CSTC2013jcyjA10041)~~
【分类号】：R749.1
，
本文编号：2190998
[Abstract]:Objective to establish a 24-month prognostic model for patients with mild cognitive impairment by mathematical method. Methods based on the analysis of 27 clinical indexes in 152 patients with mild cognitive impairment, Bayesian discriminant analysis, decision tree BP neural network, fuzzy C-means clustering and K-means clustering were used to evaluate and predict. Select the discriminant model with high accuracy. Results through the difference test, six indexes were screened out according to P0.01, 5 kinds of evaluation and prediction models were established, and 100 random sampling diagnoses were simulated. The average correct rate of Bayesian discriminant analysis in prognosis evaluation of patients with mild cognitive impairment was 74.86 and the highest accuracy was 84.21. Conclusion the mathematical model established in this study can improve the accuracy of 24 months prognosis in patients with mild cognitive impairment.
【作者单位】： 第三军医大学学员旅5营;第三军医大学生物医学工程系生物医学材料学教研室;第三军医大学生物医学工程系数学与生物数学教研室;
【基金】：重庆市自然科学基金(CSTC2013jcyjA10041)~~
【分类号】：R749.1
，
本文编号：2190998
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