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Detecting high-risk smokers in Primary Care Electronic Health Records: an automatic classification, data extraction and predictive modelling approach.

Project Description

PhD Opportunity in Populations and Behavioural Science at the School of Medicine, University of St Andrews

A clinical or non-clinical three year PhD Studentship for an applicant with strong quantitative skills, which aims to develop a method to identify and categorise people who are at high risk for developing lung cancer from GP electronic records and to develop a predictive risk score that is: accurate, feasible and acceptable to patients and the public.

The work will be based in the schools of Medicine and Computer Science and supervised by Professors Sullivan and Kelsey

Applicants must have a minimum 2:1 Bachelors degree and a Masters degree in a relevant discipline is desirable.

Informal inquiries and applications (providing a CV) can be made to .

Funding Notes

This is a three-year PhD Studentship funded by the Melville Trust for the Care and Cure of Cancer and includes home/EU fees and UKRI rate stipend.

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