Flexible Deep Neural Networks for Partially Linear Survival Data
Analysis
This article describes research on applying deep learning techniques to survival analysis, specifically focusing on partially linear models. The use of neural networks allows for flexibility in modeling complex relationships within the data. The focus on survival data suggests applications in fields like healthcare and reliability engineering.
Key Takeaways
Reference
“The article is a research paper, so there isn't a specific quote to extract in this context. The core concept is the application of deep learning to survival analysis.”