| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6891254 | Computer Methods and Programs in Biomedicine | 2018 | 36 Pages |
Abstract
Conclusions: The proposed artificial intelligence based diagnostic model is found to be highly reliable for diagnosing TPE based on simple clinical signs, blood samples and pleural effusion samples. Therefore, the proposed model can be widely used in clinical practice and further evaluated for use as a substitute of invasive pleural biopsies.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Li Chengye, Hou Lingxian, Bishundat Yanesh Sharma, Li Huaizhong, Chen ChengShui, Li Yuping, Zhao Xuehua, Huang Hui, Cai Zhennao, Chen Huiling,