A new explainable multimodal AI model integrates post-ESD images and clinical features to predict delayed bleeding after colorectal endoscopic submucosal ...
Researchers developed an interpretable machine learning model and web-based tool to forecast postoperative in-hospital mortality in patients with acute aortic ...
A computational transcriptomics and machine learning study identified four shared regulatory genes and two candidate repurposed drugs linking type 2 ...
Researchers mapped regional landslide susceptibility across Uttarakhand's Uttarkashi District using ensemble machine learning models that achieved area under the curve ...
An assessment of the Beijing-Tianjin-Hebei region found that urban infrastructure flood resilience generally increased from 2000 to 2022.
Integrating automated three-dimensional body composition radiomics with tumor features significantly improved postoperative overall survival prediction in patients with resectable non-small ...
A comparative study demonstrates that optimized gradient boosting machine learning models reliably predict customer churn on digital health platforms by ...
A retrospective cohort study found that an XGBoost machine learning model accurately predicted in-hospital mortality among postoperative neurosurgical intensive care ...
A simulation study in BMC Medical Research Methodology compares Cox proportional hazards models with machine learning methods, finding that tree-based ...
A new study uses machine learning to predict hospital stay duration after discectomy, identifying key clinical and surgical factors that ...
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