Results 101 to 110 of about 298 (180)

[Predicting Intensive Care Unit Mortality in Patients With Heart Failure Combined With Acute Kidney Injury Using an Interpretable Machine Learning Model: A Retrospective Cohort Study]. [PDF]

Sichuan Da Xue Xue Bao Yi Xue Ban
Luo X, Wan D, Wang K, Li Y, Liao R, Su B.   +5 more
europepmc   +1 more source

Machine learning model predicts the occurrence of acute kidney injury after open surgery for abdominal aortic aneurysm repair. [PDF]

Zhong Nan Da Xue Xue Bao Yi Xue Ban, 2023
Sheng C, Liao M, Zhou H, Yang P.
europepmc   +1 more source

[Research progress in motor assessment of neurodegenerative diseases driven by motion capture data]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Wu J, Guo W, Luo K, He L, Yang G.
europepmc   +1 more source

[Intelligent fault diagnosis expert system for multi-parameter monitor based on fault tree]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2022
Fan L, Lang L, Xiao J, Zhang S, Chong Y, Lyu S.   +5 more
europepmc   +1 more source

[The joint analysis of heart health and mental health based on continual learning]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Gao H, Cai Z, Li J, Liu C.
europepmc   +1 more source

[Efficacy of machine learning models versus Cox regression model for predicting prognosis of esophagogastric junction adenocarcinoma]. [PDF]

Nan Fang Yi Ke Da Xue Xue Bao, 2023
Gao K, Wang Y, Cao H, Jia J.
europepmc   +1 more source

Classified diagnosis and treatment scheme of oral cosmetic restoration based on aesthetic analysis (part Ⅱ): Chinese aesthetic connotation and analysis scheme. [PDF]

Hua Xi Kou Qiang Yi Xue Za Zhi
Yu H, Zhao J, Sun M.
europepmc   +1 more source

[Prediction of microvascular invasion in hepatocellular carcinoma with magnetic resonance imaging using models combining deep attention mechanism with clinical features]. [PDF]

Nan Fang Yi Ke Da Xue Xue Bao, 2023
Gong G, Cao S, Xiao H, Fang W, Que Y, Liu Z, Chen C.   +6 more
europepmc   +1 more source

Method of simplifying ternary T-gate network with mixed control-variable sequence(混合控制变量序的三值T门网络化简方法)

, 2002
为获得T门网络的最佳控制变量顺序,对于n个变量的函数,用传统的方法需作n!次搜索,如果考虑混合控制方式,则搜索的次数更多.为了减少搜索次数,并尽可能得到更为简单的T门网络,本文通过对真值表分割法的分析,并结合T门网络的特点,提出了一种用T门实现三值逻辑函数的真值表分割法的改进算法.该算法可实现混合控制变量序的T门网络的最简或接近最简实现,且易于编程和上机操作 ...
CHENXie-xiong(陈偕雄), LIUGuan-sheng(刘观生), SHENJi-zhong(沈继忠)   +2 more
core  

[Precise measurement of human heart rate based on multi-channel radar data fusion]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Guo H, Cao H, Yang K, Zhang Z.
europepmc   +1 more source