A convolutional neural network model for online medical guidance
文献类型：期刊论文
| 作者 | Yao, Cuili1,2; Qu, Yue3; Jin, Bo2; Guo, Li4; Li, Chao2; Cui, Wenjuan5; Feng, Lin2 |
| 刊名 | Ieee access
 |
| 出版日期 | 2016 |
| 卷号 | 4页码:4094-4103 |
| 关键词 | Medical guidance Convolutional neural network Name entity recognition |
| ISSN号 | 2169-3536 |
| DOI | 10.1109/access.2016.2594839 |
| 通讯作者 | Jin, bo(jinbo@dlut.edu.cn) |
| 英文摘要 | The aging population of china is becoming increasingly more prominent, thus increasing the burden on medical resources. therefore, the use of data mining technology to improve the efficiency of disease diagnosis has the following important significance. for hospitals, such technology can reduce the cost of providing one-on-one guidance to patients and the probability of registration errors. for patients, it can save time and energy spent on hospital visits; in addition, through remote access, patients can follow the automated guidance at home to complete registration, thereby enhancing admission efficiency. for internet users, such technology enables self-checking of these users' health conditions on a regular basis; based on certain main symptoms, possible diseases can be pre-diagnosed, thus providing a risk warning. online medical guidance has become a very important step. to this end, we focus on employing the data mining technology to enhance the performance of online medical guidance. in this paper, we propose a medical diagnosis method called the named entity recognition method and a convolutional neural network model. we apply our proposed method and model as an innovative framework for hospitalization guidance to provide human-like, comprehensive and informative automated medical consultations. we perform experiments on real-world datasets. the experimental results show that our methods achieve state-of-the-art performance compared with baselines. |
| WOS关键词 | IDENTIFICATION ; DIAGNOSIS |
| WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
| WOS类目 | Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:000382777400016 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2374203 |
| 专题 | 计算机网络信息中心 |
| 通讯作者 | Jin, Bo |
| 作者单位 | 1.Dalian Univ Technol, Sch Comp Sci & Technol, Dalian 116024, Peoples R China 2.Dalian Univ Technol, Sch Innovat & Entrepreneurship, Dalian 116024, Peoples R China 3.Dalian Univ Technol, Dept Biomed Engn, Dalian 116024, Peoples R China 4.Dalian Polytech Univ, Sch Comp Sci, Dalian 116034, Peoples R China 5.Chinese Acad Sci, Comp Network Informat Ctr, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yao, Cuili,Qu, Yue,Jin, Bo,et al. A convolutional neural network model for online medical guidance[J]. Ieee access,2016,4:4094-4103. |
| APA | Yao, Cuili.,Qu, Yue.,Jin, Bo.,Guo, Li.,Li, Chao.,...&Feng, Lin.(2016).A convolutional neural network model for online medical guidance.Ieee access,4,4094-4103. |
| MLA | Yao, Cuili,et al."A convolutional neural network model for online medical guidance".Ieee access 4(2016):4094-4103. |
入库方式： iSwitch采集
来源：计算机网络信息中心
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