Machine learning‐based classification of aMCI and non‐aMCI using gait and MRI‐based characteristics

Machine learning using GAIT data set achieved the highest accuracy in distinguishing between aMCI and naMCI.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.086713
Citations
1
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Machine learning‐based classification of aMCI and non‐aMCI using gait and MRI‐based characteristics

Ohk‐Hyun Ryu, Ingyu Park, Unjoo Lee, Sang‐Kyu Lee et al.
1 citations
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
0.39
article

Machine learning‐based classification of aMCI and non‐aMCI using gait and MRI‐based characteristics

Ohk‐Hyun Ryu, Ingyu Park, Unjoo Lee, Sang‐Kyu Lee, Daehun Jang, Yeo Jin Kim, Hui‐Chul Choi, Moo‐Eob Ahn
article en
1 citations

Abstract

Machine learning using GAIT data set achieved the highest accuracy in distinguishing between aMCI and naMCI.

Alzheimer s & DementiaVol. 20(S3)
Hallym University (KR), Hallym Polytechnic University (KR), Kangdong Sacred Heart Hospital (KR)
Quality Education
Openalex Percentile: Top 32%
Dementia and Cognitive Impairment Research
0.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.