期刊文献+

基于神经网络的宫颈涂片诊断系统的研究与设计 被引量:1

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出处 《中国卫生统计》 CSCD 北大核心 2009年第3期300-301,304,共3页 Chinese Journal of Health Statistics
基金 辽宁省科技计划项目(2007225002-2)
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参考文献6

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共引文献11

同被引文献10

  • 1高蔚,王声湧,王自能,施侣元,董福霞.在糖尿病危险因素分析中人工神经网络的应用[J].中华流行病学杂志,2004,25(8):715-718. 被引量:4
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  • 4Karakitsos P,Pouliakis A,Kordalis G,et al.Potendal of radial basis function neural networks in discriminating benign from malignant lesions of the lower urinary tract.Anal Quant Cytol Histol,2005,27(1):35-42.
  • 5Paseual JM,Rodilla E,Costa JA,et al.Body weight variation and control of cardiovascular risk factors in essential hypertension.Blood Press,2009,18(5).247-54.
  • 6Sonke GS,Heskes T,Verbeek AL,Ct al.Prediction of bladder outlet obstruction in men with lower urinary tract symptoms using artificial neural networks.J Urol,2000,163(1):300-305.
  • 7Wadie BS,Badawi AM,Abdelwahed M,et al.Application of artificial neural network in prediction of bladder outlet obstruction:a model based on objective,noninvasive parameters.Urology,2006,68(6):1211-1214.
  • 8Reichlin T,Hochholzer W,Bassetti S,et al.Early diagnosis of myocardial infarction with sensitive cardiac troponin assays.N Engl J Med,2009,361 (9):858-867.
  • 9钱玲,施侣元,程茂金.应用人工神经网络预测糖尿病/糖耐量异常[J].中国公共卫生,2003,19(10):1272-1274. 被引量:11
  • 10徐晶,于玲范,孙柏青.人工神经网络在急性心肌梗死诊断中的应用[J].心血管康复医学杂志,2003,12(6):493-495. 被引量:1

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