基于优化后集成学习模型的特征选择与疾病高效预警研究——以老年抑郁焦虑为例
严颖， 黄奇， 李娜 - 数据分析与知识发现, 2023 - manu44.magtech.com.cn
… disease prediction models balance computational efficiency and prediction accuracy by
selecting key disease … to help public health departments achieve efficient disease early warning. […
selecting key disease … to help public health departments achieve efficient disease early warning. […
机器学习算法构建慢性肾脏病伴高血压或糖尿病的预测模型.
曾慧娟， 田波， 袁红伶， 何杰， 李冠羲… - Journal of Kunming …, 2024 - search.ebscohost.com
… the early predictive model for chronic kidney disease ( CKD) … ),random forest (RF),Naïve
Bayes (NB),and artificial neural … the prediction of chronic kidney disease: A comparative study[…
Bayes (NB),and artificial neural … the prediction of chronic kidney disease: A comparative study[…
[PDF][PDF] 健康医疗系统的数据挖掘研究
A Ngueilbaye - 2016 - academia.edu
… The prediction accuracy is observed by comparing observed … to predict to which category
a particular data case belongs. In this research, we will explain how naïve Bayes classification …
a particular data case belongs. In this research, we will explain how naïve Bayes classification …
机器学习在脑卒中医学中的应用: 进展, 挑战和未来展望
M Daidone, S Ferrantelli, A Tuttolomondo - 中国神经再生研究(英文版), 2024 - sjzsyj.com.cn
… by comparing logistic regression analysis and machine learning algorithms proposed with
artificial neural networks. This comparative review … prospectively recruited patients with acute …
artificial neural networks. This comparative review … prospectively recruited patients with acute …
應用機器學習演算法識別罹患帶狀疱疹之高危險群
李定達 - 2013 - tdr.lib.ntu.edu.tw
… ) higher risk of stroke than the matched comparison and the adjusted hazard ratio of stroke
… -1.81) in patients with chronic kidney disease and 2.45 (95% CI, 1.77-3.40) in patients with …
… -1.81) in patients with chronic kidney disease and 2.45 (95% CI, 1.77-3.40) in patients with …
IgA 肾病患者与健康人肠道菌群的比较
翁俊雄， 刘翠云， 丁晓燕， 傅碧玲， 陈继红 - 中国微生态学杂志, 2021 - cjm.dmu.edu.cn
… by operational taxonomic units (OTUs) clustering, species classification analysis, α diversity
analysis and β diversity analysis. Finally, the intestinal flora were compared between the two …
analysis and β diversity analysis. Finally, the intestinal flora were compared between the two …
以生物資訊最佳化方法發展電腦輔助疫苗設計系統
何信瑩 - 2009 - ir.lib.nycu.edu.tw
… array, which assures a balanced comparison of levels of any factor. Orthogonal array can
reduce the number of level combinations for factor analysis. Each row of an orthogonal array …
reduce the number of level combinations for factor analysis. Each row of an orthogonal array …
[HTML][HTML] 数据挖掘技术在心血管疾病预后研究中的应用进展
向超益， 吴亚飞， 方亚 - 中华流行病学杂志, 2021 - html.rhhz.net
… naive bayes,TAN),半朴素贝叶斯网络(semi-naïve network model)和SVM对137例伴有吞咽
功能障碍的脑卒中患者在6个月后的吞咽情况进行预测,其结果表明TAN模型的预测性能最佳(…
功能障碍的脑卒中患者在6个月后的吞咽情况进行预测,其结果表明TAN模型的预测性能最佳(…
创伤性脑损伤患者医院获得性肺炎风险预测模型的构建
向黔灵， 张加碧， 江智霞， 胡汝均， 张芳， 鲁鑫， 胥露 - 中国护理管理, 2023 - zghlgl.com
… to construct risk prediction models, including Logistics Regression, Naive Bayes, Support
Vector … for the early prediction of HospitalAcquired Pneumonia in patients with Traumatic Brain …
Vector … for the early prediction of HospitalAcquired Pneumonia in patients with Traumatic Brain …
机器学习在肝移植中的应用.
吴健， 曹林平 - Organ Transplantation/Qi Guan Yi Zhi, 2022 - search.ebscohost.com
… 研究发现,DT, RF,SVM,梯度提升机(gradient boosting machine, GBM),朴素贝叶斯(naïve
Bayes),多层感知器 (multilayer perceptron)和深度信念网络(deep belief network)等机器学习模型均…
Bayes),多层感知器 (multilayer perceptron)和深度信念网络(deep belief network)等机器学习模型均…