Primary Care Stratified Medicine (PRISM)

A gentle introduction to using machine-learning for analysis of large health care datasets.

 
Location
Floor 2, Room 203, Tower Building, University Park Campus
Date(s)
Thursday 25th January 2018 (12:30-13:30)
Contact
If you would like to attend this seminar, please contact April McCambridge to book a place.
Description

PLEASE NOTE THE ROOM CHANGE: We are now meeting in room 203 (Lecture Theatre), Floor 2, Tower Building. 

Dr Stephen Weng in the Division of Primary Care, is giving a talk on Thursday 25 January 2018 called “A gentle introduction to using machine-learning for analysis of large health care datasets”.

Presentation overview:
Machine learning teaches computers to do what comes naturally to humans: learn from experience. These algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model. The algorithms adaptively improve their performance as the number of samples available for learning increases. This session will provide a gentle introduction on machine-learning methods, terminology, and demonstrate an application for using machine-learning algorithms in primary care datasets.

This seminar is part of the joint seminar/skills programme organised by the Divisions of Primary Care and Epidemiology & Public Health.

 

Primary Care Stratified Medicine (PRISM)

The University of Nottingham
School of Medicine


telephone: +44 (0)115 846 6903
email:nadeem.qureshi@nottingham.ac.uk