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摘要:
Nowadays,emerging mobile medical technology and disease prevention become new trends of disease prevention and control.Based on this technology,we present disease prediction models based on transfer learning.Breast cancer disease data has been used to build our model.According to the neural networks,the basic model has been provided.With unlabeled data,transfer learning is a appropriate way to revise the module to increase accuracy.The test results show that the algorithm is suitable for data classification,especially for unlabeled health data.
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文献信息
篇名 Disease Prediction Based on Transfer Learning in Individual Healthcare
来源期刊 国际计算机前沿大会会议论文集 学科 社会科学
关键词 INDIVIDUAL healthcare TRANSFER LEARNING NEURAL NETWORKS DISEASE prediction Unlabeled data
年,卷(期) 2017,(1) 所属期刊栏目
研究方向 页码范围 28-30
页数 3页 分类号 C5
字数 语种
DOI
五维指标
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研究主题发展历程
节点文献
INDIVIDUAL
healthcare
TRANSFER
LEARNING
NEURAL
NETWORKS
DISEASE
prediction
Unlabeled
data
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
国际计算机前沿大会会议论文集
半年刊
北京市海淀区西三旗昌临801号
出版文献量(篇)
616
总下载数(次)
6
总被引数(次)
0
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