Aug 2026· Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi· Vol 43 4, pp.
769-776
· 0 citations
Medicine
TL;DR
The developed in-hospital mortality risk prediction model for polytrauma patients exhibits favorable discrimination and clinical net benefit, and can assist clinicians in identifying high-risk populations while providing evidence to support individualized treatment decisions.
Objective This study aims to develop and validate machine learning (ML) models for predicting treatment failure in trauma patients using comprehensive clinical and laboratory variables, and to identify key prognostic features. Methods A retrospective cohort of 318 trauma patients was included. We included 44 characteri...
Qiang Shi, Yun Liu, Jia-Hui Shen et al.· Frontiers in Medicine· 0 citations
Abstract Background Sepsis-induced coagulopathy (SIC) is a common and severe complication in patients with sepsis, characterized by microvascular thrombosis, systemic endothelial damage, and markedly increased short-term mortality. Existing traditional clinical risk scoring systems demonstrate limited accuracy and fail...
Jia-Xuan Sun, Jing-Yuan Wang, Yu-Xin Dong et al.· JMIR Medical Informatics· 0 citations
BACKGROUND
This multicenter study developed and validated an interpretable machine learning model integrating granular nursing and emergency department data collected within the first 24 hours to predict in-hospital mortality in acute ischemic stroke (AIS).
METHODS
We analyzed a retrospective cohort of 5,014 adult AI...
The authors' ICU 28-day mortality prognosis model demonstrated robust performance in predicting ICU 28-day mortality in non-traumatic subarachnoid hemorrhage, and provides individualized risk assessment, aiding clinical decision-making and patient stratification.
Xi Zhu, Xu-Jie Wang, Rong-Fei Xie et al.· Journal of clinical neurosci...· 0 citations
A machine learning model predicts acute pulmonary embolism risk in suspected patients to reduce unnecessary CTPA overuse and radiation exposure and provides interpretable explanations for individual risk predictions.
BACKGROUND
Knee osteoarthritis (KOA) is a prevalent degenerative joint disease that causes pain, reduced mobility, and an increased risk of falls in older adults. Predicting fall risk in this population remains difficult because of the complex interplay of multiple risk factors.
METHODS
Data from 1097 patients with K...
Hao-Tian Yin, Wei Wang, Yi-Xiang Zhang et al.· Archives of gerontology and...· 0 citations
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