A predictive analytics model for differentiating between transient ischemic attacks (TIA) and its mimics

A predictive analytics model for differentiating between transient ischemic attacks (TIA) and its mimics

Abstract Background Transient ischemic attack (TIA) is a brief episode of neurological dysfunction resulting from cerebral ischemia not associated with permanent cerebral infarction. TIA is associated with high diagnostic errors because of the subjective nature of findings and the lack of clinical a...

Full description

Bibliographic Details
Main Authors: Alia Stanciu, Mihai Banciu, Alireza Sadighi, Kyle A. Marshall, Neil R. Holland, Vida Abedi, Ramin Zand
Format: Article
Language:English
Published: BMC 2020-06-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Diagnostic error
TIA
Transient ischemic attack
Stroke
Stroke mimic
Feature selection
Online Access:http://link.springer.com/article/10.1186/s12911-020-01154-6

Internet

http://link.springer.com/article/10.1186/s12911-020-01154-6

Similar Items