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腹膜透析中的人工智能和机器学习:临床结果的系统审查和预测建模

Muhammad Muaz Mushtaq1, Maham Mushtaq1, Husnain Ali1

  • 1King Edward Medical University, Mayo Hospital, KEMU Boys Hostel, Link Mcleod Road, Lahore, Pakistan.

International urology and nephrology
|July 6, 2024
PubMed
概括

人工智能 (AI) 和机器学习 (ML) 在预测腹腔透析 (PD) 患者的结果方面表现有前途. 需要进一步的研究来验证这些AI/ML模型的临床用途.

关键词:
人工智能的人工智能是人工智能.临床结果 临床结果医疗保健决策支持服务机器学习 机器学习预测死亡率的预测.腹膜透析是指腹膜透析.预测建模的预测建模.系统性审查 系统性审查

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Renal failure occurs when the kidneys lose their ability to filter waste products from the blood effectively. It can be classified into two types: acute renal failure (ARF) and chronic renal failure (CRF).
Acute kidney injury develops suddenly and can be caused by pre-renal causes (e.g., hypovolemia, shock), intrinsic renal causes (e.g., acute tubular necrosis), or post-renal causes (e.g., urinary obstruction). In contrast, chronic renal failure progresses gradually over time and is often...
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