Generating Patient Records using Diffusion Models
You can also join remotely. See Teams link on the seminar webpage in booking url.
Deep generative models, particularly Generative Adversarial Networks (GANs), have become a popular tool for synthetically generating Electronic Health Records (EHRs) to mitigate the privacy concerns of sharing and using such data. Motivated by the performance of diffusion models over GANs on generating other data modalities such as image, text and sound, we propose medDiffusion, a new approach based on diffusion models to generate realistic tabular EHRs. In this talk, I will motivate our work, briefly introduce diffusion models and discuss our preliminary experimental results.
Date:
12 January 2023, 14:30 (Thursday, 0th week, Hilary 2023)
Venue:
Wolfson College, Linton Road OX2 6UD
Venue Details:
Seminar Room 2 - The Academic Wing
Speaker:
Dr. Taha Ceritli (University of Oxford)
Organising department:
Wolfson College
Organisers:
Prof. Antoniya Georgieva (University of Oxford),
Dr. Yi Yin (Wolfson College, University of Oxford)
Organiser contact email address:
yi.yin@wrh.ox.ac.uk
Part of:
Oxford Cross-Disciplinary Machine Learning (OxfordXML) Research Cluster Seminar Series
Booking required?:
Not required
Booking url:
https://users.ox.ac.uk/~ndog0178/XML/xml_index.html
Cost:
Free. Cake, tea and coffee provided.
Audience:
Public
Editor:
Yi Yin
