Katherine Heller

Wednesday 18th of July 2018

Time: 4.00pm

Ground Floor Seminar Room

25 Howland Street, London, W1T 4JG

Machine learning for health care

We will present multiple ways in which healthcare data is acquired and machine learning methods are currentlybeing introduced into clinical settings. This will include:

1) Modeling the prediction of disease, including Sepsis, and ways in which the best treatment decisions for Sepsis patients can be made, from electronic health record (EHR) data using Gaussian processes and deep learning methods.

2) Predicting surgical complications and transfer learning methods for combining databases

3) Using mobile apps and integrated sensors for improving the granularity of recorded health data for chronic conditions. Current work in these areas will be presented and the future of machine learning contributions to the field will be discussed.