Computer Science ›› 2016, Vol. 43 ›› Issue (Z11): 26-30.doi: 10.11896/j.issn.1002-137X.2016.11A.006

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Forecasting of Hospital Outpatient Based on Deep Belief Network

YANG Xu-hua and ZHONG Nan-yi   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Forecasting of hospital out patient plays an important role in intelligent management of modern hospital me-dical resources.The existing researches on outpatient visit analysis and forecasting mostly aim at a single set of data,lacking in in-depth analysis of the data to fully tapped.Thus a hospital outpatient prediction method based on deep belief network (DBN) was proposed.The DBN can excute unsupervised learn from hospital out-patient departments of outpatient data and complete outpatient data feature extraction for mining hidden relationships between various out patient clinic outpatient data.On top of the network layer a logistic regression is added,and the extracted data is based to forecast the future outpatient clinic outpatient.The experimental results show that prediction model based on deep learning achieves better forecasting effect of traffic outpatient capacity.

Key words: Deep belief network,Outpatient prediction,Data characteristics,Logistic regression

[1] Valipour M,Banihabib M E,Behbahani S M R.Comparison of the ARMA,ARIMA,and the autoregressive artificial neural network models in forecasting the monthly inflow of Dez dam reservoir[J].Journal of Hydrology,2013,476(2):433-441
[2] Khashei M,Bijari M.A novel hybridization of artificial neural networks and ARIMA models for time series forecasting[J].Applied Soft Computing,2011,11(2):2664-2675
[3] Wang Y,Dang Y,Li Y,et al.An approach to increase prediction precision of GM(1,1) model based on optimization of the initial condition[M]∥Continuous flows in the plane.Springer,1974,37(8):5640-5644
[4] Yin Z Y.Study on the fitting methods of logistic curve[J].Application of Statistics and Management,2002,21(1):41-46
[5] 郭丽丽,丁世飞.深度学习研究进展[J].计算机科学,2015,42(5):28-33
[6] LeCun Y,Bengio Y,Hinton G.Deep learning[J].Nature,2015,521(7553):436-444
[7] Bengio Y.Learning Deep Architectures for AI[J].Foundations &Trends in Machine Learning,2009,2(1):1-127
[8] Hinton G E,Osindero S,Teh Y W.A Fast Learning Algorithm for Deep Belief Nets[J].Neural Computation,1960,18(7):1527-1554
[9] Leung M K,Xiong H Y,Lee L J,et al.Deep learning of the tissue-regulated splicing code[J].Bioinformatics,2014,30(12):i121-i129
[10] Xiong H Y,et al.RNA Splicing,The human splicing code re-veals new insights into the genetic determinants of disease[J].Science,2015,347(6218)
[11] Collobert R,et al.Natural language processing (almost) from scratch[J].Journal of Machine Learning Research,2011,12(1):2493-2537
[12] Sutskever I,Vinyals O,Le Q V.Sequence to sequence learning with neural networks[C]∥Proc.Advances in Neural Information Processing Systems.2014(27):3104-3112
[13] Bordes A,Chopra S,Weston J.Question Answering with Subgraph Embeddings[J].Computer Science,2014
[14] Jean S,Cho K,Memisevic R,et al.On using very large target vocabulary for neural machine translation[C]∥Proc.ACL-IJCNLP,2015
[15] Etemad-Shahidi A,Yasa R,Kazeminezhad M H.Prediction ofwave-induced scour depth under submarine pipelines using machine learning approach[J].Applied Ocean Research,2011,33(1):54-59
[16] Lv Y,Duan Y,Kang W,et al.Traffic Flow Prediction With Big Data:A Deep Learning Approach[J].IEEE Transactions on Intelligent Transportation Systems,2015,16(2):1-9
[17] Hu Q,Zhang R,Zhou Y.Transfer learning for short-term wind speed prediction with deep neural networks[J].Renewable Energy,2016,85:83-95
[18] 张艳红,王宝会.基于深度神经网络的社会媒体网络分析[J].计算机科学,2016,43(4):252-255
[19] Hossain M,Rekabdar B,Louis S J,et al.Forecasting the weather of Nevada:A deep learning approach[C]∥2015 International Joint Conference on Neural Networks(IJCNN).2015
[20] 耿娟.ARIMA模型在医院门诊量预测中的应用[J].中国卫生统计,2014(4):643-645
[21] 叶明全,胡学钢.基于季节性神经网络的医院门诊量曲线拟合与预测[J].图学学报,2005,26(2):83-86
[22] 朱顺痣,王大寒,何亚男,等.基于时间序列模型的医院门诊量分析与预测[J].中国科学技术大学学报,2015,45(10):795-803
[23] 张筠莉,杨祯山.现代医院门诊量的灰色RBF神经网络预测[J].计算机工程与应用,2010,6(29):225-228

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