PhD Project details
Title: The use of deep generative models to address challenges in early classification of rare outcomes on longitudinal datasets
This research investigates the effective use of deep generative models to enhance early classification in longitudinal datasets. It addresses data-level challenges within the context of longitudinal data analysis and focuses on applying generative models like Generative Adversarial Networks to improve early classification through enhanced temporal learning mechanisms for improved data augmentation, minority class resampling and missing value imputation. This research contributes to the field of deep generative models for temporally complex data analysis, aiming to resolve challenges in longitudinal dataset analysis.
Supervisory team:
Prof. Richi Nayak, Dr Md Abul Bashar