对心血管疾病数据驱动的预后系统进行超参数优化

Jayson Saputra1, Cindy Lawrencya2, Jecky Mitra Saini2

  • 1Industrial Engineering Department, BINUS Graduate Program - Master of Industrial Engineering, Bina Nusantara University, Jakarta 11480, Indonesia. jayson@binus.ac.id.

概括

预测心血管疾病 (CVD) 是非常重要的. 这项研究使用了机器学习模型,发现随机梯度下降 (SGD) 和人工神经网络 (ANN) 在心血管疾病风险预测中取得了高精度.

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