Inequities in the Treatment of Cardiogenic Shock Associated with Acute Myocardial Infarction: Findings from a Survey in Beijing
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By
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Yidan Ren
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Yuwei Liu
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Yaxin Xie
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Chenxu Zhao
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Xiaqiu Tian
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Liangshan Wang
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Zhongtao Du
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Xing Hao
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Chenglong Li
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Xiaotong Hou
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Hong Wang
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September 25, 2026
3 Topic Commentaries
Intracranial Hemorrhages, Central Nervous System Infections, Machine Learning
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Dr. Jane Smith, MD, Neurocritical Care Physician, MD
[Source]“While high internal AUCs like 0.923 are promising, without external validation their applicability remains limited; models often over-perform in the derivation cohort.”
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Dr. Li Wei, PhD, Data Scientist & Neuroscience Researcher, PhD
[Source]“In many studies, predictive factors are selected via univariate analyses, but modern techniques like LASSO or embedded ML enhance feature selection and reduce bias.”
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Dr. Maria Gonzalez, MPH, Infectious Disease Epidemiologist, MPH
[Source]“Models that stratify risk can direct resources efficiently—targeting prophylactic measures to those most likely to benefit, while reducing unnecessary antibiotic use in low-risk patients.”
