Delirium misdiagnosis risk in psychiatry: a machine learning-logistic regression predictive algorithm

Delirium misdiagnosis risk in psychiatry: a machine learning-logistic regression predictive algorithm

Abstract Background Delirium is a frequent diagnosis made by Consultation-Liaison Psychiatry (CLP). Numerous studies have demonstrated misdiagnosis prior to referral to CLP. Few studies have considered the factors underlying misdiagnosis using multivariate approaches. Objectives To determine the num...

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Bibliographic Details
Main Authors: Catherine Hercus, Abdul-Rahman Hudaib
Format: Article
Language:English
Published: BMC 2020-02-01
Series:BMC Health Services Research
Subjects:
Delirium
Misdiagnosis
Machine learning-logistic classifier
Input variables
Online Access:http://link.springer.com/article/10.1186/s12913-020-5005-1

Internet

http://link.springer.com/article/10.1186/s12913-020-5005-1

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