Open AccessComparison of RCF Scoring System to Clinical Decision for the Rey Complex Figure Using Machine-Learning Algorithm
Author(s) -
Chanda Simfukwe,
Seong Soo A. An,
Young Chul Youn
Publication year - 2021
Publication title -
dementia and neurocognitive disorders/dementia and neurocognitive disorders
Language(s) - English
Resource type - Journals
eISSN - 2384-0757
pISSN - 1738-1495
DOI - 10.12779/dnd.2021.20.4.70
Subject(s) - dementia , cognitive impairment , artificial intelligence , receiver operating characteristic , machine learning , sensitivity (control systems) , convolutional neural network , neuropsychological assessment , clinical practice , algorithm , neuropsychology , computer science , medicine , cognition , physical therapy , psychiatry , disease , electronic engineering , engineering
Interpreting the Rey complex figure (RCF) requires a standard RCF scoring system and clinical decision by clinicians. The interpretation of RCF using clinical decision by clinicians might not be accurate in the diagnosing of mild cognitive impairment (MCI) or dementia patients in comparison with the RCF scoring system. For this reason, a machine-learning algorithm was used to demonstrate that scoring RCF using clinical decision is not as accurate as of the RCF scoring system in predicting MCI or mild dementia patients from normal subjects.