使用混合水轮工厂算法进行深度神经网络优化,改进了早期慢性病预测
Doaa Sami Khafaga1, Nima Khodadadi2, Ehsaneh Khodadadi3
1Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia.
Scientific reports
|November 27, 2025
概括
一种新的混合元启发 (WWPA-GWO) 有效地优化深度神经网络,用于早期检测慢性病 (CKD). 这种先进的方法显著提高了预测准确性,并减少了与标准方法相比的计算时间.
科学领域:
- 人工智能在医学中的应用
- 生物医学数据科学 生物医学数据科学
- 计算健康 计算健康
背景情况:
- 慢性病 (CKD) 影响全球数以百万计的人,由于传统方法的局限性,如估计淋巴膜过率 (GFR),往往是晚诊的.
- 早期发现CKD对于有效管理和预防疾病进展至关重要,但仍然是一个重大的临床挑战.
研究的目的:
- 开发和验证一种新的深度神经网络模型,以提高慢性病 (CKD) 的早期预测.
- 优化深度神经网络使用混合元启发算法,将水轮植物算法 (WWPA) 和灰狼优化 (GWO) 结合起来.
主要方法:
- 为了解决数据质量和类不平衡,UCI CKD数据集使用归算,规范化和合成过量抽样进行了预处理.
- 一个多层感知器 (MLP) 回归模型被训练和优化,使用建议的WWPA-GWO混合元启发.
- 性能与其他优化算法 (PSO,GA,WOA) 和标准MLP进行了比较.
主要成果:
- 与标准MLP (R2 = 0.8793) 相比,WWPA-GWO优化的MLP模型在预测准确度方面显示出显著的改进 (例如,R2 = 0.9730).
- 优化的模型实现了降低平均平方误差 (MSE) 和根平均平方误差 (RMSE),表明更高的精度.
- 优化模型 (0.0999秒) 的计算时间大大减少.
结论:
- WWPA-GWO混合优化策略在早期CKD检测中提高深度神经网络性能方面非常有效.
- 这种方法为临床应用提供了一个强大,高效和可靠的工具,用于在早期阶段识别CKD.
- 未来的研究方向包括探索先进的归算,多模式数据和联合学习,以进一步提高概括性和临床实用性.
相关概念视频
01:28Chronic Kidney Disease III: Interprofessional Care
323
Chronic kidney disease (CKD) requires collaborative and comprehensive management. CKD progresses through stages and can lead to end-stage kidney disease (ESKD) if untreated. Interprofessional collaboration and patient education are crucial, enabling patients to manage their health and improve their quality of life.Diagnostic approach for chronic kidney diseaseThe diagnosis of CKD primarily focuses on the glomerular filtration rate (GFR), which assesses kidney function by measuring how well...
323
01:25Chronic Kidney Disease I: Introduction
545
Chronic Kidney Disease (CKD) arises when the kidneys progressively lose their ability to function, ultimately leading to end-stage renal disease. At this advanced stage, the kidneys can no longer filter waste or maintain essential body functions, requiring renal replacement therapy (RRT) through dialysis or a kidney transplant for survival.Early-stage chronic kidney disease and detection challengesIn CKD's early stages, symptoms often remain absent because healthy nephrons compensate for...
545
01:18Chronic Kidney Disease IV: Nursing Management
299
Nursing management is essential for preventing complications, maintaining stability, and improving patients' quality of life in chronic kidney disease (CKD). By using a structured approach, nurses help slow CKD progression and support effective patient care.1. Comprehensive patient assessmentEffective management begins with nurses reviewing the patient’s medical history, and identifying key risk factors like diabetes, hypertension, and nephrotoxic drug use. Nurses assess signs of...
299
01:20Acute Kidney Injury V: Interprofessional Care
282
Acute Kidney Injury (AKI) requires a collaborative healthcare approach to restore renal function and prevent complications. Essential management strategies involve monitoring fluid and electrolyte balance, adjusting medications, initiating dialysis when necessary, and providing nutritional support.Fluid and Electrolyte ManagementFluid Monitoring: Regularly monitoring body weight, central venous pressure, and urine output helps detect fluid imbalances early. Patient intake and output are...
282