Prediction of in-hospital mortality risk in intensive care unit with support vector machine
Objective To explore the application of support vector machine (SVM) in predicting the mortality risk after intensive care unit (ICU) admission. Methods A total of 18 094 ICU inpatients from MIMIC Ⅲ dataset were enrolled in the study. The total data set (n=18 094) was randomly divided into training...
| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Army Medical University
2022-09-01
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| Series: | 陆军军医大学学报 |
| Subjects: | |
| Online Access: | http://aammt.tmmu.edu.cn/Upload/rhtml/202206112.htm |