Mild Cognitive Impairment Detection Using Machine Learning Models Trained on Data Collected from Serious Games
Mild cognitive impairment (MCI) is an indicative precursor of Alzheimer’s disease and its early detection is critical to restrain further cognitive deterioration through preventive measures. In this context, the capacity of serious games combined with machine learning for MCI detection is examined....
Main Authors: | Christos Karapapas, Christos Goumopoulos |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-09-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/17/8184 |
Similar Items
-
Attention and Motor skill improvements in Mild Cognitive Impairment patients using COSMA Application
by: Aikaterini Christogianni, et al.
Published: (2022-11-01) -
Development and evaluation of serious games for diagnosis and cognitive improvement of patients with mild cognitive impairment: A study protocol
by: Farveh Sabermahani, et al.
Published: (2022-01-01) -
The Use of a Virtual Reality Platform for the Assessment of the Memory Decline and the Hippocampal Neural Injury in Subjects with Mild Cognitive Impairment: The Validity of Smart Aging Serious Game (SASG)
by: Monia Cabinio, et al.
Published: (2020-05-01) -
Effectiveness of a Serious Game for Cognitive Training in Chronic Stroke Survivors with Mild-to-Moderate Cognitive Impairment: A Pilot Randomized Controlled Trial
by: Hee-Tae Jung, et al.
Published: (2020-09-01) -
Serious Game as Support for the Development of Computational Thinking for Children with Hearing Impairment
by: Sandra Cano, et al.
Published: (2020-12-01)