Results 171 to 180 of about 21,249 (196)

[Research on type 2 diabetes prediction algorithm based on photoplethysmography]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Hu M, Wu Q, Cao Y, Cao J, Zhao Y, Zhang L, Liu X.   +6 more
europepmc   +1 more source

[Application of multi-scale spatiotemporal networks in physiological signal and facial action unit measurement]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Xu S, Zhang S.
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

[Genetic profiling and intervention strategies for phenylketonuria in Gansu, China: an analysis of 1 159 cases]. [PDF]

Zhongguo Dang Dai Er Ke Za Zhi
Zhang C, Zhang P, Zhou BB, Wang X, Zheng L, Li XJ, Guo JX, Chen PL, Hui L, DA ZQ, Yan YS.   +10 more
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[A multi-feature fusion-based model for fetal orientation classification from intrapartum ultrasound videos]. [PDF]

Nan Fang Yi Ke Da Xue Xue Bao
Zheng Z, Yang X, Wu S, Zhang S, Lyu G, Liu P, Wang J, He S.   +7 more
europepmc   +1 more source

[Prediction of hearing change in children with enlarged vestibular aqueduct with different genotypes by linear mixed-effects model]. [PDF]

Lin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi
Deng L, Huang L, Cheng X, Yu Y, Li Y, Gao S, Ruan Y, Xie J.   +7 more
europepmc   +1 more source

[The application of machine learning in the auxiliary diagnosis of specific learning disorder]. [PDF]

Zhongguo Dang Dai Er Ke Za Zhi
Zhao H, Mei SL, Wang JY, Chi X.
europepmc   +1 more source

[Research progress on quantitative magnetic susceptibility imaging reconstruction method based on improved U-network model]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Yang W, Zhang R, Keung S.
europepmc   +1 more source

[Myelodysplastic neoplasms with acute myeloid leukemia-like mutations: clinical features, molecular profiles, and prognosis]. [PDF]

Zhonghua Xue Ye Xue Za Zhi
Bao ZF, Liu LL, Li B, Qin TJ, Xu ZF, Qu SQ, Pan LJ, Gao QY, Jiao M, Jia YJ, Li CW, Sun Q, Wang HJ, Xiao ZJ.   +13 more
europepmc   +1 more source

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高频数据在行业景气度实时监测中的建模应用

财经管理
随着金融行业数字化转型加速，传统低频数据渐难满足行业景气度实时监测需求，高频数据依托高时效性与细颗粒度优势，成为破解监测滞后问题的关键。本文聚焦金融领域，系统梳理高频数据特性与金融行业景气度核心维度，构建从数据预处理到模型优化的完整应用框架，分析时间序列、机器学习等模型在股票、外汇、债券市场的适配性，探讨建模中数据降噪、特征筛选等关键问题。研究表明，高频数据建模能有效捕捉金融市场短期波动与趋势变化，为监管决策、投资策略制定提供实时支撑，同时指出当前模型在复杂市场环境下的适应性局限，为后续技术优化提供方向。
许波
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