CORE
🇺🇦Â
 make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Comparing explainable machine learning approaches with traditional statistical methods for evaluating stroke risk models: retrospective cohort study
Authors
John Attia
Sermkiat Lolak
Gareth J McKay
Ammarin Thakkinstian
Publication date
26 July 2023
Publisher
Doi
Cite
Abstract
Abstract is not available.
Similar works
Full text
Available Versions
Supporting member
Queen's University Belfast Research Portal
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:pure.qub.ac.uk/portal:publ...
Last time updated on 07/08/2023