Supervisors

Suitable for

Abstract

This project aims to use convolutional neural networks to discover how to best treat patients with asthma, using available electronic health record data. The dataset contains information about various (types of) patients and their responses to different medications over time. The focus of the project is to train a convolutional neural network to identify how to best treat patients over time. The project will involve interacting with a renowned clinician specializing in asthma diagnosis and treatment. In the short run, this work will lead to a publication in an important conference. In the longer run, this work – and more generally, the development of these methods – will change and advance the way medicine is practiced.

To read more about the role of machine learning in medicine – see medianetlab.ee.ucla.edu/MedAdvance

Prerequisites: This project is suitable for someone with at least basic knowledge of neural networks and/or machine learning.