Using Advanced Analytics to Improve Patient Health
- Title
- Using Advanced Analytics to Improve Patient Health
- Speaker(s)
- Speaker: Dr John Rigg # IMS Health
- Date and Time
- 29th Sep 2015 16:00 - 29th Sep 2015 17:15
- Location
- 6th floor staff room, Chrystal Macmillan Building
- URL
- http://www.q-step.ed.ac.uk/community/events/other_events/2015/using_advanced_analytics_to_improve_patient_health
Join us on Tuesday 29th September for a talk by Dr John Rigg about using machine learning techniques in the health consultancy context. The talk will take place at 4pm in the Chrystal Macmillan Staff Room on the 6th floor.
Anonymised data from primary care, secondary care and other parts of
the health system is increasingly being used to optimize treatment
allocation and improve patient health. This talk will discuss both the
merits and challenges of predictive analytics applications in
healthcare, such as:
• Prognostic algorithms to identify patients at highest risk of experiencing disease progression
• Diagnostic algorithms to identify undiagnosed patients
• Treatment algorithms to identify which patients respond best to treatments
Motivating examples will be discussed from real-world applications.
The talk will also compare different methodological approaches,
commenting, for instance, when it may be appropriate to use machine
learning methods rather than classical multiple regression methods.
The talk will provide stimulating examples of how advanced statistical
modeling is used in healthcare. The session will be highly
interactive, with opportunity for questions and answers.
John Rigg PhD is the Head of Predictive Analytics at IMS Health, a
large consultancy specializing in healthcare. Previously, He developed
counter-fraud predictive solutions for financial services companies
and statistical arbitrage models in financial markets. He has a PhD in
Economics from Cambridge University and has held post-doctoral
research fellowships at the London School of Economics and the
University of Essex.
