A Novel Method of Heart Failure Prediction Based on DPCNN-XGBOOST Model
文献类型：期刊论文
| 作者 | Chen, Yuwen2,3,4 ; Qin, Xiaolin2,4; Zhang, Lige2,4; Yi, Bin1
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| 刊名 | CMC-COMPUTERS MATERIALS & CONTINUA
 |
| 出版日期 | 2020 |
| 卷号 | 65期号:1页码:495-510 |
| 关键词 | Deep pyramid convolutional neural networks extreme gradient boosting heart failure prediction |
| ISSN号 | 1546-2218 |
| DOI | 10.32604/cmc.2020.011278 |
| 通讯作者 | Chen, Yuwen(chenyuwen@cigit.ac.cn) |
| 英文摘要 | The occurrence of perioperative heart failure will affect the quality of medical services and threaten the safety of patients. Existing methods depend on the judgment of doctors, the results are affected by many factors such as doctors' knowledge and experience. The accuracy is difficult to guarantee and has a serious lag. In this paper, a mixture prediction model is proposed for perioperative adverse events of heart failure, which combined with the advantages of the Deep Pyramid Convolutional Neural Networks (DPCNN) and Extreme Gradient Boosting (XGBOOST). The DPCNN was used to automatically extract features from patient's diagnostic texts, and the text features were integrated with the preoperative examination and intraoperative monitoring values of patients, then the XGBOOST algorithm was used to construct the prediction model of heart failure. An experimental comparison was conducted on the model based on the data of patients with heart failure in southwest hospital from 2014 to 2018. The results showed that the DPCNN-XGBOOST model improved the predictive sensitivity of the model by 3% and 31% compared with the text-based DPCNN Model and the numeric-based XGBOOST Model. |
| 资助项目 | National Key Research & Development Plan of China[2018YFC0116704] ; Chongqing Technology Innovation and application research and development project[cstc2019jscx-msxmx0237] |
| WOS研究方向 | Computer Science ; Materials Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000552255300030 |
| 出版者 | TECH SCIENCE PRESS |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/11287]  |
| 专题 | 中国科学院重庆绿色智能技术研究院 |
| 通讯作者 | Chen, Yuwen |
| 作者单位 | 1.Army Med Univ, Southwest Hosp, Dept Anesthesia, Chongqing 400038, Peoples R China 2.Chinese Acad Sci, Chengdu Inst Comp Applicat, Chengdu 610041, Peoples R China 3.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China 4.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Yuwen,Qin, Xiaolin,Zhang, Lige,et al. A Novel Method of Heart Failure Prediction Based on DPCNN-XGBOOST Model[J]. CMC-COMPUTERS MATERIALS & CONTINUA,2020,65(1):495-510. |
| APA | Chen, Yuwen,Qin, Xiaolin,Zhang, Lige,&Yi, Bin.(2020).A Novel Method of Heart Failure Prediction Based on DPCNN-XGBOOST Model.CMC-COMPUTERS MATERIALS & CONTINUA,65(1),495-510. |
| MLA | Chen, Yuwen,et al."A Novel Method of Heart Failure Prediction Based on DPCNN-XGBOOST Model".CMC-COMPUTERS MATERIALS & CONTINUA 65.1(2020):495-510. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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