Geriatrics

Local manifold learning for multiatlas segmentation: application to hippocampal segmentation in healthy population and Alzheimer's disease.

AIMS: Automated hippocampal segmentation is an important issue in many neuroscience studies.

Effects on Symptoms of Agitation and Depression in Persons With Dementia Participating in Robot-Assisted Activity: A Cluster-Randomized Controlled Trial.

OBJECTIVES: To examine effects on symptoms of agitation and depression in nursing home residents wit...

A brief method for preparation of gintonin-enriched fraction from ginseng.

BACKGROUND: Ginseng has been used as a tonic for invigoration of the human body. In a previous repor...

Deep sparse multi-task learning for feature selection in Alzheimer's disease diagnosis.

Recently, neuroimaging-based Alzheimer's disease (AD) or mild cognitive impairment (MCI) diagnosis h...

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...

An end-to-end hybrid algorithm for automated medication discrepancy detection.

BACKGROUND: In this study we implemented and developed state-of-the-art machine learning (ML) and na...

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...

A new machine learning approach for predicting the response to anemia treatment in a large cohort of End Stage Renal Disease patients undergoing dialysis.

Chronic Kidney Disease (CKD) anemia is one of the main common comorbidities in patients undergoing E...

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...

Lokomat training in vascular dementia: motor improvement and beyond!

Vascular dementia (VaD) is a general term describing problems with reasoning, planning, judgment, me...

Efficient method for analyzing MR real-time cines: Toward accurate quantification of left ventricular function.

BACKGROUND: To develop and assess an efficient method to identify end-expiratory end-diastolic (ED) ...

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...

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

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 ...

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...