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.National Taiwan University / 國立臺灣大學
Project / 研究計畫
Utilizing Deep Learning to Construct a Dynamic Prediction Model for the Progression of Diabetic Nephropathy
Utilizing Deep Learning to Construct a Dynamic Prediction Model for the Progression of Diabetic Nephropathy
Details
Primary Data
Project title
運用深度學習建構糖尿病腎病變進展之動態預測模式
Internal ID
NSTC113-2221-E002-178
Principal Investigator
JOU-WEI LIN
Start Date
August 1, 2024
End Date
July 31, 2025
Investigators
郭錦輯
陳奕中
Organizations
Internal Medicine-NTUHYL
Partner Organizations
National Science and Technology Council
Description
Keywords
Deep Learning
Dynamic Prediction
Survival Analysis
Diabetic Nephropathy
Chronic Kidney Disease
End-Stage Renal Disease
Description
隨著糖尿病患者數量的增加,糖尿病引起的腎病變成為慢性腎臟病進展的主因。本研究旨在運用深度學習技術分析糖尿病患者的臨床數據,建立一個動態預測模型來預測腎功能衰竭進展。研究將關注從早期糖尿病至末期腎病變的不同階段,使用循環神經網路和長短期記憶網路進行分析,包括運用DeepSurv和DeepHit模型處理存活分析和競爭風險,並調整RNN-SURV使之能夠進行深具彈性的動態預測。此研究期望提供精確的風險評估,為糖尿病腎病變的治療提供創新方向。
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