Intelligent cloud guidance technology based on natural language learning
The main problems existing in the current guidance system were analyzed.According to the intelligent guidance system researched in the current academic circles,a self-learning system for the disease which based on a large number of patient condition descriptions using a variety of machine learning a...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Beijing Xintong Media Co., Ltd
2019-04-01
|
| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019078/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841530502655246336 |
|---|---|
| author | Renjie TANG Tao JIANG Qiaojie YANG |
| author_facet | Renjie TANG Tao JIANG Qiaojie YANG |
| author_sort | Renjie TANG |
| collection | DOAJ |
| description | The main problems existing in the current guidance system were analyzed.According to the intelligent guidance system researched in the current academic circles,a self-learning system for the disease which based on a large number of patient condition descriptions using a variety of machine learning algorithms was creatively proposed.The platform used Web crawler technology to obtain setting of the international and domestic medical institution departments and a large number of patient descriptions,which form a pathological knowledge base and a disease self-reported knowledge base.At the same time,the algorithm was innovatively constructed to combine the attention model with TextCNN to improve the accuracy of the consultation. |
| format | Article |
| id | doaj-art-244eee9ed3ca4ade94750912c93a1f45 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2019-04-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-244eee9ed3ca4ade94750912c93a1f452025-01-15T03:03:06ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012019-04-013513914559590393Intelligent cloud guidance technology based on natural language learningRenjie TANGTao JIANGQiaojie YANGThe main problems existing in the current guidance system were analyzed.According to the intelligent guidance system researched in the current academic circles,a self-learning system for the disease which based on a large number of patient condition descriptions using a variety of machine learning algorithms was creatively proposed.The platform used Web crawler technology to obtain setting of the international and domestic medical institution departments and a large number of patient descriptions,which form a pathological knowledge base and a disease self-reported knowledge base.At the same time,the algorithm was innovatively constructed to combine the attention model with TextCNN to improve the accuracy of the consultation.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019078/intelligent guidanceattention modelTextCNN |
| spellingShingle | Renjie TANG Tao JIANG Qiaojie YANG Intelligent cloud guidance technology based on natural language learning Dianxin kexue intelligent guidance attention model TextCNN |
| title | Intelligent cloud guidance technology based on natural language learning |
| title_full | Intelligent cloud guidance technology based on natural language learning |
| title_fullStr | Intelligent cloud guidance technology based on natural language learning |
| title_full_unstemmed | Intelligent cloud guidance technology based on natural language learning |
| title_short | Intelligent cloud guidance technology based on natural language learning |
| title_sort | intelligent cloud guidance technology based on natural language learning |
| topic | intelligent guidance attention model TextCNN |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019078/ |
| work_keys_str_mv | AT renjietang intelligentcloudguidancetechnologybasedonnaturallanguagelearning AT taojiang intelligentcloudguidancetechnologybasedonnaturallanguagelearning AT qiaojieyang intelligentcloudguidancetechnologybasedonnaturallanguagelearning |