利用患者相似性建立个性化糖尿病预测模型 |
投稿时间:2018-09-07 点此下载全文 |
引用本文:黄艳群,王妮,张慧,等.利用患者相似性建立个性化糖尿病预测模型[J].医学信息学杂志,2019,40(1):54-58 |
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基金项目:国家自然科学基金项目“面向跨领域异构数据的患者相似性学习方法及应用”(项目编号:81671786)。 |
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中文摘要:利用患者相似性筛选不同规模的研究队列,分别建立基于Logistic回归、决策树和BP神经网络的糖尿病个性化及非个性化预测模型,探讨基于患者相似性的个性化与非个性化疾病预测模型性能差异,以及基于不同机器学习算法的个性化预测模型性能差异。 |
中文关键词:患者相似性 个性化预测模型 糖尿病 |
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Establishing the Personalized Diabetes Prediction Models by Making Use of Patient Similarity |
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Abstract:By making use of patient similarity, the paper screens study cohort of various sizes, establishes personalized and non-personalized diabetes prediction models based on Logistics Regression(LR), Decision Tree(DT) and Back Propagation(BP) neural network, discusses the difference between the performances of the personalized disease prediction model and the non-personalized one based on patient similarity, as well as the difference between the performances of personalized prediction models based on different machine learning algorithms. |
keywords:patient similarity personalized prediction model diabetes |
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