Machine learning-based models for prediction of in-hospital mortality in patients with dengue shock syndrome
We developed robust machine learning-based models to estimate the risk of death in hospitalized children with DSS. The study findings are applicable to the design of management schemes to enhance survival outcomes of patients with DSS.
Authors
- Luan Thanh Vo (ORCID: https://orcid.org/0000-0003-3188-5967)
- Tung Huu Trinh (ORCID: https://orcid.org/0000-0002-1487-9584)
- Thanh Tat Nguyen (ORCID: https://orcid.org/0000-0001-7600-6757)
- Thien Vu (ORCID: https://orcid.org/0000-0002-6956-0191)
- Thach Ngoc Pham (ORCID: https://orcid.org/0000-0002-8159-2153)
Institutions
- Shiga University of Medical Science (JP)
- Shiga University (JP)
- National Institute of Biomedical Innovation, Health and Nutrition (JP)
- Anova Corp (Vietnam) (VN)
- Children's Hospital 2 (VN)
- Children's Hospital 1 (VN)
Publication Details
- Journal
- World Journal of Methodology
- Published
- 2025-03-06
- DOI
- https://doi.org/10.5662/wjm.v15.i3.101837
- Citations
- 1
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.35