Deep-learning in survival analysis
In this paper, hospitalisation duration is modelled using traditional survival model, machine-learning models and deep-learning models. Machine-learning and deep-learning algorithms typically assume that all event of interest are known at the time of modelling. However, hospitalisation duration i...
Saved in:
Main Author: | Ho, Jeff |
---|---|
Other Authors: | Xiang Liming |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/148490 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Deep learning in healthcare with improved architecture and representation learning
by: Khonstantine, Gilbert
Published: (2020) -
Sparse supervised principal component analysis for survival models
by: Poh, Charissa Li Ann
Published: (2022) -
Regression analysis of survival data with covariates subject to censoring
by: Yu, Tonghui
Published: (2018) -
Differentially private deep learning for time series data
by: Dwitami, Inggriany
Published: (2020) -
Deep learning in health-care with mixture model : a simulation study
by: Xiao, Fengtong
Published: (2018)