Machine learning to detect, stage and classify diseases and their symptoms based on inertial sensor data: A map** review

D Bibbo, C De Marchis, M Schmid… - Physiological …, 2023 - iopscience.iop.org
This article presents a systematic review aimed at map** the literature published in the
last decade on the use of machine learning (ML) for clinical decisionmaking through …

[HTML][HTML] Prediction of dementia based on older adults' sleep disturbances using machine learning

J Nyholm, AN Ghazi, SN Ghazi, JS Berglund - Computers in Biology and …, 2024 - Elsevier
Background: The most common degenerative condition in older adults is dementia, which
can be predicted using a number of indicators and whose progression can be slowed down …

Dysregulation of Ruminococcaceae and Megamonas could be predictive markers for rapid progression of mild cognitive impairment

J Yang, L Wang, H Liu, H Xu, F Liu, H Song… - Microbial …, 2023 - Elsevier
Background Intestinal flora dysregulation may affect the development of Alzheimer's disease
(AD). However, the correlation between intestinal flora and rapid progression of mild …

Machine-based learning shifting to Prediction Model of Deteriorative MCI due to Alzheimer's Disease-A two-year Follow-Up investigation

X Zhao, H Sui, C Yan, M Zhang, H Song… - Current Alzheimer …, 2022 - ingentaconnect.com
Objective: The aim of the present work was to investigate the features of the elderly
population aged≥ 65 yrs and with deteriorative mild cognitive impairment (MCI) due to …

Metabolites of intestinal fora can be used as diagnostic and progressive markers for mild cognitive impairment

L Lu, L Qin, X Zhao, Z Liu, X Qiu, S Yang… - Frontiers in Cellular …, 2024 - frontiersin.org
Purpose The aim of the work was to analyze the metabolites of the intestinal microbiota from
the patients with mild cognitive impairment (MCI) and progressive MCI due to Alzheimer's …

Predicting the Rapid Progression of Mild Cognitive Impairment by Intestinal Flora and Blood Indicators through Machine Learning Method

L Wang, J Yan, H Liu, X Zhao, H Song… - Neurodegenerative …, 2023 - karger.com
Introduction: The aim of the work was to establish a prediction model of mild cognitive
impairment (MCI) progression based on intestinal flora by machine learning method …

Prediction of Dementia Based on Older Adults' Sleep Disturbances Using Machine Learning

J Nyholm, AN Ghazi, SN Ghazi… - Available at SSRN …, 2023 - papers.ssrn.com
Background: The most common degenerative condition in older adults is dementia, which
can be predicted using a number of indicators, and appropriate measures can be taken to …

Dementia Scale Classification with Sequential Model from Sleep Activity Data

S Sugiura, S Yokoyama, K Inoue… - 2023 45th Annual …, 2023 - ieeexplore.ieee.org
Dementia, a disorder caused by brain diseases, has been found to influence the sleep
patterns of patients. The finding indicates that monitoring sleep activity is helpful to detect the …

Prediction of dementia based on older adults' sleep disturbances using machine learning: a controlled experiment.

J Nyholm - 2023 - diva-portal.org
Background. Sleep disturbances can indicate an increased risk of dementia. This study
examines whether machine learning can predict this association and which sleep …

[PDF][PDF] 睡眠活動データを用いた認知状態尺度推定

杉浦伸一 - 2024 - dspace02.jaist.ac.jp
概要認知症は, 記憶力や思考力の低下により, 日常生活に支障をきたす病気である.
世界的に進む高齢化社会に伴い, 認知症が社会に与える影響も増大することが見込まれている …