Academic Journal
Early prediction of mortality at sepsis diagnosis time in critically ill patients by using interpretable machine learning
| العنوان: | Early prediction of mortality at sepsis diagnosis time in critically ill patients by using interpretable machine learning |
|---|---|
| المؤلفون: | Cheng, Yi-Wei, Kuo, Po-Chih, Chen, Shih-Hong, Kuo, Yu-Ting, Liu, Tyng-Luh, Chan, Wing-Sum, Chan, Kuang-Cheng, Yeh, Yu-Chang |
| المساهمون: | National Taiwan University Hospital, National Science and Technology Council |
| المصدر: | Journal of Clinical Monitoring and Computing ; volume 38, issue 2, page 271-279 ; ISSN 1387-1307 1573-2614 |
| بيانات النشر: | Springer Science and Business Media LLC |
| سنة النشر: | 2023 |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| DOI: | 10.1007/s10877-023-01108-z |
| DOI: | 10.1007/s10877-023-01108-z.pdf |
| DOI: | 10.1007/s10877-023-01108-z/fulltext.html |
| الاتاحة: | http://dx.doi.org/10.1007/s10877-023-01108-z https://link.springer.com/content/pdf/10.1007/s10877-023-01108-z.pdf https://link.springer.com/article/10.1007/s10877-023-01108-z/fulltext.html |
| Rights: | https://www.springernature.com/gp/researchers/text-and-data-mining ; https://www.springernature.com/gp/researchers/text-and-data-mining |
| رقم الانضمام: | edsbas.6517A6BF |
| قاعدة البيانات: | BASE |
| DOI: | 10.1007/s10877-023-01108-z |
|---|