A practical and explainable machine learning model based on conventional clinical features for predicting mortality in patients with sepsis.
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| Title: | A practical and explainable machine learning model based on conventional clinical features for predicting mortality in patients with sepsis. |
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| Authors: | Huang, Xintong1,2 (AUTHOR), Chen, Yingxu1 (AUTHOR), Li, Tongda1 (AUTHOR), Ge, Lisirui1 (AUTHOR), Yang, Lu3 (AUTHOR), Peng, Tao1,2 (AUTHOR) pt528@swmu.edu.cn, Chen, Guangxiang3 (AUTHOR) cgx23ly2002@163.com, Wang, Maohua1,2 (AUTHOR) wangmaohua@swmu.edu.cn |
| Source: | Anesthesiology & Perioperative Science. Dec2025, Vol. 3 Issue 4, p1-13. 13p. |
| Database: | Academic Search Ultimate |
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| ISSN: | 27318389 |
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| DOI: | 10.1007/s44254-025-00157-8 |
