Predicting survival rates of critically ill septic patients with heart failure using interpretable machine learning models.
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| Title: | Predicting survival rates of critically ill septic patients with heart failure using interpretable machine learning models. |
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| Authors: | Yang, Hai-Ying1,2 (AUTHOR), Jiang, Meng-Han1,2 (AUTHOR), Yu, Fang1 (AUTHOR), Yang, Li-Juan1,2 (AUTHOR), Zhang, Xin3 (AUTHOR), Li, De-Min1,2 (AUTHOR), Guo, Yu1 (AUTHOR), Zhu, Jia-De1,2 (AUTHOR), Yin, Sun-Jun1 (AUTHOR) ysjkunming@163.com, He, Gong-Hao1 (AUTHOR) gonghow@hotmail.com |
| Source: | Technology & Health Care. Sep2025, Vol. 33 Issue 5, p2404-2415. 12p. |
| Database: | Academic Search Ultimate |
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| ISSN: | 09287329 |
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| DOI: | 10.1177/09287329251346284 |
