Machine learning algorithms for risk factor selection with application to 60-day sepsis morbidity risk for a geriatric hip fracture cohort

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Publication Details

Journal
BMC Geriatrics
Published
2025-08-04
DOI
https://doi.org/10.1186/s12877-025-06213-z
Citations
1
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.35

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article

Machine learning algorithms for risk factor selection with application to 60-day sepsis morbidity risk for a geriatric hip fracture cohort

Qianming Chen, Guoxuan Peng, Ling Zeng, R. Zhang et al.
1 citations
BMC Geriatrics
Sepsis Diagnosis and Treatment
1.35
article

Machine learning algorithms for risk factor selection with application to 60-day sepsis morbidity risk for a geriatric hip fracture cohort

Qianming Chen, Guoxuan Peng, Ling Zeng, R. Zhang, Shunbin Luo, Chen Liu, Zhe Xu, Jin Deng
article en
1 citations

Abstract

No abstract available for this paper.
BMC GeriatricsVol. 25(1)
Guiyang Medical University (CN), Affiliated Hospital of Guizhou Medical University (CN), Guiyang University (CN), The First People's Hospital of Guiyang (CN)
National Natural Science Foundation of China, Centre Scientifique et Technique du Bâtiment, Science and Technology Program of Guizhou Province
Openalex Percentile: Top 17%
Sepsis Diagnosis and Treatment
1.35
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Machine learning algorithms for risk factor selection with application to 60-day sepsis morbidity risk for a geriatric hip fracture cohort — Qianming Chen, Guoxuan Peng, et al. · BMC Geriatrics (2025) | TGRS Research Map | TGRS