Results 61 to 70 of about 11,552 (112)

模糊解释结构模型

四川大学学报. 自然科学版, 1999
将解释结果模型推广到模糊系统．首先定义了模糊可达矩阵、模糊邻接矩阵、缩减系统和骨干矩阵，对它们的性质作了说明．接着讨论了可达矩阵和邻接矩阵的截矩阵，并给出了骨干矩阵的一个构造方法 ...
黄丽, 蔡长林
doaj  

[Medical prior-guided TabMap deep learning model for ovarian cancer prediction and interpretability analysis]. [PDF]

Nan Fang Yi Ke Da Xue Xue Bao
Zhu J, Tan S, Huang F, Cai G, Zhen X.
europepmc   +1 more source

[Construction of an anxiety recognition model for patients with malignant gastrointestinal tumors based on multidimensional features and multiple interpretable machine learning]. [PDF]

Nan Fang Yi Ke Da Xue Xue Bao
Chen M, Guo R, Zhao W, Wang Y, Zuo L, Liu M, Li B.   +6 more
europepmc   +1 more source

[Evaluation of an interpretable 12-lead ECG automatic diagnosis model based on deep feature fusion]. [PDF]

Nan Fang Yi Ke Da Xue Xue Bao
Lu X, Chen H, Wu Q, Wen Y, Liu G, Chen C.   +5 more
europepmc   +1 more source

[Interpretable machine learning models for preoperative precision prediction of perineural invasion in cervical cancer to support treatment decision: a multicenter retrospective study]. [PDF]

Nan Fang Yi Ke Da Xue Xue Bao
Zhu M, Liu X, Zhao S, Zhang X, Liu C, Liu X, Qi H, Han T, Ma D.   +8 more
europepmc   +1 more source

[Application of Explainable Deep Learning in Differentiating Benign from Malignant 
Pulmonary Space-occupying Lesions and Classifying Pathological Subtypes of Lung Cancer]. [PDF]

Zhongguo Fei Ai Za Zhi
Li H, Wang Y, Wang Y, He H, Li J, Su Y, Kong F, Liu X, Cheng L, Li Y.   +9 more
europepmc   +1 more source

基于深度神经网络的布鲁氏菌病风险预测模型的构建和验证

Zhongshan Daxue xuebao. Yixue kexue ban
目的采用深度神经网络算法构建布鲁氏菌病预测模型，提升布鲁氏菌病的早期发现效能。方法纳入2023年呼市职业病防治院收治的202例布鲁氏菌病患者与 319例非布鲁氏菌病患者的临床资料，从中提取性别、年龄、血常规指标及临床诊断等数据进行分析。通过深度神经网络算法构建布鲁氏菌病预测模型，并通过十折交叉验证进行模型优化。模型性能评估指标包括灵敏度、假阴性率、特异度、假阳性率、准确率、阳性预测值、阴性预测值、F1分数、受试者工作特征曲线下面积（AUC）。经评估筛选出的最优模型，借助沙普利可加性解释 （SHAP ...
刘思远, 宋 彪², 刘桂枝, 王君, 薛兰, 苏 杰³, 王宏利, 沈欣   +7 more
doaj  

[Prediction of risk of in-hospital death in patients with chronic heart failure complicated by lung infections using interpretable machine learning]. [PDF]

Nan Fang Yi Ke Da Xue Xue Bao
Shen C, Wang S, Zhou R, Wang Y, Gao Q, Chen X, Yang S.   +6 more
europepmc   +1 more source

[Frontier research on smart delivery biomaterials in the field of oral tissue engineering]. [PDF]

Hua Xi Kou Qiang Yi Xue Za Zhi
Wu Y, Liao J.
europepmc   +1 more source

[Oral mucosal administration]. [PDF]

Hua Xi Kou Qiang Yi Xue Za Zhi
Liu T, Liu J, Zhao H.
europepmc   +1 more source