Geriatrics

Effectiveness of social behaviors for autonomous wheelchair robot to support elderly people in Japan.

We developed a wheelchair robot to support the movement of elderly people and specifically implement...

Feature Selection Based on the SVM Weight Vector for Classification of Dementia.

Computer-aided diagnosis of dementia using a support vector machine (SVM) can be improved with featu...

Tandem Stance Avoidance Using Adaptive and Asymmetric Admittance Control for Fall Prevention.

Fall prevention is one of the most important functions of walking assistance devices for user's safe...

Boosting diagnosis accuracy of Alzheimer's disease using high dimensional recognition of longitudinal brain atrophy patterns.

OBJECTIVE: Boosting accuracy in automatically discriminating patients with Alzheimer's disease (AD) ...

Detecting tympanostomy tubes from otoscopic images via offline and online training.

Tympanostomy tube placement has been commonly used nowadays as a surgical treatment for otitis media...

Modeling and motion compensation of a bidirectional tendon-sheath actuated system for robotic endoscopic surgery.

Recent study shows that tendon-sheath system (TSS) has great potential in the development of surgica...

Multimodal analysis of functional and structural disconnection in Alzheimer's disease using multiple kernel SVM.

Alzheimer's disease (AD) patients exhibit alterations in the functional connectivity between spatial...

Predicting Prodromal Alzheimer's Disease in Subjects with Mild Cognitive Impairment Using Machine Learning Classification of Multimodal Multicenter Diffusion-Tensor and Magnetic Resonance Imaging Data.

BACKGROUND: Alzheimer's disease (AD) patients show early changes in white matter (WM) structural int...

Autonomous unobtrusive detection of mild cognitive impairment in older adults.

The current diagnosis process of dementia is resulting in a high percentage of cases with delayed de...

Prediction of drug gene associations via ontological profile similarity with application to drug repositioning.

The amount of biomedical literature has been increasing rapidly during the last decade. Text mining ...

Re: A prospective study examining the association between preoperative frailty and postoperative complications in patients undergoing minimally invasive surgery.

Towards a future robotic home environment: a survey.

PURPOSE: Demographic change has resulted in an increase of elderly people, while at the same time th...

Quantifying care coordination using natural language processing and domain-specific ontology.

OBJECTIVE: This research identifies specific care coordination activities used by Aging in Place (AI...

Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects.

Mild cognitive impairment (MCI) is a transitional stage between age-related cognitive decline and Al...

Predictive Models Based on Support Vector Machines: Whole-Brain versus Regional Analysis of Structural MRI in the Alzheimer's Disease.

Decision-making systems trained on structural magnetic resonance imaging data of subjects affected b...

Manifold regularized multitask feature learning for multimodality disease classification.

Multimodality based methods have shown great advantages in classification of Alzheimer's disease (AD...

End-point impedance measurements across dominant and nondominant hands and robotic assistance with directional damping.

The goal of this paper is to perform end-point impedance measurements across dominant and nondominan...

Genetic algorithm-based classifiers fusion for multisensor activity recognition of elderly people.

Activity recognition of an elderly person can be used to provide information and intelligent service...

Classifier calibration using splined empirical probabilities in clinical risk prediction.

The aims of supervised machine learning (ML) applications fall into three broad categories: classifi...

The Attitudes and Perceptions of Older Adults With Mild Cognitive Impairment Toward an Assistive Robot.

The purpose of this study was to explore perceived difficulties and needs of older adults with mild ...

Latent feature representation with stacked auto-encoder for AD/MCI diagnosis.

Recently, there have been great interests for computer-aided diagnosis of Alzheimer's disease (AD) a...