CRIS Projects Details -
Accept Cookies

Cookies: How we use information on our website:

We use cookies on our website to make it clear, useful and reliable. In order to achieve this and to provide certain personalised features we store a small amount
of data about you. Click Here to learn more. By navigating from the front page to other sections of our website, you are consenting to information being stored.


CRIS Projects Details

Project Details

 

Developing natural language processing tools to investigate alcohol and illicit substance misuse in people with serious mental illness

Lead Applicant Name :
Rashmi Patel
Project Type :
Research
Approval Date :
28-Jul-2016
References :
Irving J, Colling C, Shetty H, Pritchard M, Stewart R, Fusar-Poli P, McGuire P, Patel R. (2021) Gender differences in clinical presentation and illicit substance use during first episode psychosis: a natural language processing, electronic case register study. BMJ Open
Lay Summary :
A number of studies have highlighted the risks associated with alcohol and illicit substances in relation to serious mental illness. The role of cannabis has been investigated in a previous study using CRIS but less is known about alcohol and other illicit substances such as opiates, cocaine, amphetamines, ketamine and novel psychoactive substances. In this study, I aim to develop natural language processing (NLP) tools to identify alcohol and illicit substance use from free text electronic health records and apply these tools to investigate the association of alcohol/illicit substance use with clinical outcomes in people with serious mental illness.

< Back to search