维普期刊资源整合服务平台（V6.5）

维普中文期刊产品整合服务

1篇 您的检索式：作者名="Huma Javed"

选中清除导出查看参考文献查看引证文献引用追踪共1页首页上一页第1页下一页末页 /1 跳转

		题名	作者	年代	出处	被引量
	1	Optimized Predictive Framework for Healthcare Through Deep Learning显示文摘Smart healthcare integrates an advanced wave of information technology using smart devices to collect health-related medical science data.Such data usually exist in unstructured,noisy,incomplete,and heterogeneous forms.Annotating these limitations remains an open challenge in deep learning to classify health conditions.In this paper,a long short-term memory(LSTM)based health condition prediction framework is proposed to rectify imbalanced and noisy data and transform it into a useful form to predict accurate health conditions.The imbalanced and scarce data is normalized through coding to gain consistency for accurate results using synthetic minority oversampling technique.The proposed model is optimized and ne-tuned in an end to end manner to select ideal parameters using tree parzen estimator to build a probabilistic model.The patient’s medication is pigeonholed to plot the diabetic condition’s risk factor through an algorithm to classify blood glucose metrics using a modern surveillance error grid method.The proposed model can efciently train,validate,and test noisy data by obtaining consistent results around 90%over the state of the art machine and deep learning techniques and overcoming the insufciency in training data through transfer learning.The overall results of the proposed model are further tested with secondary datasets to verify model sustainability.	Yasir Shahzad Huma Javed Haleem Farman Jamil Ahmad Bilal Jan Abdelmohsen A.Nassani	2021	Computers, Materials & Continua2021，，5：	0

返回顶部每页显示：

共1页首页上一页第1页下一页末页 /1 跳转

goolge学术搜索-维普

网站首页 | 关于我们 | 联系我们 | 产品服务 | 客服中心 | 广告服务 | 版权声明 | 网站联盟 | 友情链接 | 售卡网点

版权所有© 渝B2-20050021-1　渝公网安备 50019002500403号　违法和不良信息举报中心

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费