Predicting cognitive impairment in outpatients with epilepsy using machine learning techniques
Abstract Many studies report predictions for cognitive function but there are few predictions in epileptic patients; therefore, we established a workflow to efficiently predict outcomes of both the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) in outpatients with epil...
Enregistré dans:
Auteurs principaux: | Feng Lin, Jiarui Han, Teng Xue, Jilan Lin, Shenggen Chen, Chaofeng Zhu, Han Lin, Xianyang Chen, Wanhui Lin, Huapin Huang |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/d06ade1ce43f4535aa529274a46757e4 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Impaired Cognitive Abilities in Siblings of Patients with Temporal Lobe Epilepsy
par: Tan L, et autres
Publié: (2020) -
Retinal Imaging Techniques Based on Machine Learning Models in Recognition and Prediction of Mild Cognitive Impairment
par: Zhang Q, et autres
Publié: (2021) -
Cognitive impairments in treatment-resistant depression: Results from the French cohort of outpatients (FACE-DR)
par: A Vancappel, et autres
Publié: (2021) -
Porphyromonas gingivalis-Induced Cognitive Impairment Is Associated With Gut Dysbiosis, Neuroinflammation, and Glymphatic Dysfunction
par: Li Chi, et autres
Publié: (2021) -
The effects of combined cognitive training on prospective memory in older adults with mild cognitive impairment
par: Yifan Chen, et autres
Publié: (2021)