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Leveraging routinely collected and linked research data to study the causes and consequences of common mental disorders
Grover, Claire
(Principal Investigator)
Alex, Bea
(Co-investigator)
School of Informatics
School of Literatures, Languages and Cultures
Language, Interaction, and Robotics
Overview
Fingerprint
Research output
(1)
Project Details
Status
Finished
Effective start/end date
31/03/18
→
31/12/20
Funding
MRC:
£117,273.00
View all
View less
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Network Model
Engineering
100%
Neural Network Model
Computer Science
100%
Information Extraction
Computer Science
100%
Learning System
Engineering
66%
Rule-Based System
Engineering
66%
Electronic Health Record
Engineering
66%
Lstm
Engineering
33%
Evolutionarily Stable Strategy
Engineering
33%
Research output
Research output per year
2021
2021
2021
1
Article
Research output per year
Research output per year
Comparison of Rule-based and Neural Network Models for Negation Detection in Radiology Reports
Sykes, D., Grivas, A., Grover, C., Tobin, R.,
Sudlow, C.
,
Whiteley, W.
,
McIntosh, A.
,
Whalley, H.
& Alex, B.,
1 Mar 2021
,
In:
Natural Language Engineering.
27
,
2
,
p. 203-224
22 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Network Model
100%
Information Extraction
100%
Neural Network Model
100%
Electronic Health Record
66%
Rule-Based System
66%