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Predictive Models for Acute Kidney Injury Within 48 Hours After Cardiac Surgery with Cardiopulmonary Bypass

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DataCite Commons2024-01-15 更新2024-08-19 收录
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https://figshare.com/articles/dataset/Predictive_Models_for_Acute_Kidney_Injury_Within_48_Hours_After_Cardiac_Surgery_with_Cardiopulmonary_Bypass/24763449/3
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资源简介:
The application of the Random Forest model allows for precise early detection of Cardiac Surgery-Associated Acute Kidney Injury within 48 hours. This provides clinicians with the capability to closely monitor these patients and implement effective preventative and therapeutic interventions, ultimately reducing the occurrence of Acute Kidney Injury. This not only improves the precision of clinical decision-making but also aids in the optimal allocation and management of healthcare resources.
提供机构:
figshare
创建时间:
2024-01-15
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