Privacy-Preserving Deep Learning NLP Models for Cancer Registries || CSE438.

Explore the cutting-edge intersection of healthcare and AI in this presentation. We delve into how privacy-preserving deep learning NLP models can transform cancer registries, ensuring data security while enhancing efficiency. This video offers insights into a multi-task convolutional neural network (MT-CNN) NLP model, designed to work with sensitive data without compromising privacy. Ideal for healthcare professionals, data scientists, and anyone interested in the future of medical data processing and privacy.

Video contents:
0:36 Table of Contents
0:39 Introduction
1:23 Research Background
1:58 Challenges in Data Sharing
2:38 Deep Learning & NLP in Medical Contexts
3:18 Data Collection & Study Area
3:51 Privacy issues in DL/NLP models
4:18 Result & Model Selection
4:56 Model Validation & Variability
5:26 Future Implications & Research
6:31 References
6:35 Question & Answer Session