使 (CMC-AKIX):.

Ji Won Min1, Jae-Hong Min2, Se-Hyun Chang3

  • 1Department of Internal Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

概括

机器学习模型使用手术前数据准确预测术后急性损伤 (AKI) 风险. 集成到一个网站的深度神经网络模型增强了个性化患者护理的临床实用性.

相关概念视频

Acute Kidney Injury I: Introduction01:22

Acute Kidney Injury I: Introduction

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Acute Kidney Injury II: Pathophysiology01:29

Acute Kidney Injury II: Pathophysiology

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Acute Kidney Injury IV: Diagnostic Studies and Prevention01:30

Acute Kidney Injury IV: Diagnostic Studies and Prevention

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Acute Kidney Injury V: Interprofessional Care01:20

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Acute Kidney Injury VI: Nursing Management01:22

Acute Kidney Injury VI: Nursing Management

Acute Kidney Injury (AKI) results in an inability to maintain fluid, electrolyte, and acid-base balance. Effective nursing management is critical in improving patient outcomes and includes comprehensive patient assessment and targeted interventions.Comprehensive Patient AssessmentA detailed history collection is essential, focusing on any recent infections, nephrotoxic medication use, or chronic conditions such as hypertension and diabetes that may contribute to AKI. During the physical...