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使用K最高分数特征选择的深度学习改善血液透析患者血管访问质量分类的准确性

Sarayut Julkaew1, Thakerng Wongsirichot2, Kasikrit Damkliang2

  • 1College of Digital Science, Prince of Songkla University, Hat Yai, Songkhla, Thailand.

The Journal of international medical research
|April 4, 2024
PubMed
概括

一种使用光聚血学 (PPG) 传感器的新特征选择方法改善了深度学习模型的准确性,用于分类血液透析血管接入质量,达到92.05%的准确性.

关键词:
1 D 卷积神经网络的神经网络深度学习是一种深度学习.最终阶段的病 (ESRD)血液透析是血液透析的方法之一.摄影复合声学 (photoplethysmography) 是一种摄影仪.血管接入质量的质量

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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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