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Multi-class parkinsonian disorders classification with quantitative MR markers and graph-based features using support vector machines.

Parkinsonism & related disorders
BACKGROUND AND PURPOSE: In this study we attempt to automatically classify individual patients with different parkinsonian disorders, making use of pattern recognition techniques to distinguish among several forms of parkinsonisms (multi-class classi...

Performance metrics for guidance active constraints in surgical robotics.

The international journal of medical robotics + computer assisted surgery : MRCAS
Active constraint (AC)/virtual fixture (VF) is among the most popular approaches towards the shared execution of subtasks by the surgeon and robotic systems. As more possibilities appear for the implementation of ACs in surgical scenarios, the need t...

A multicentre verification study of the QuantiFERON-TB Gold Plus assay.

Tuberculosis (Edinburgh, Scotland)
OBJECTIVES: The aim of this verification study was to compare the QuantiFERON-TB Gold Plus (QFT-Plus) to the QuantiFERON-TB Gold In Tube (QFT-GIT). The new QFT-Plus test contains an extra antigen tube which, according to the manufacturer additionally...

Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States.

Proceedings of the National Academy of Sciences of the United States of America
The United States spends more than $250 million each year on the American Community Survey (ACS), a labor-intensive door-to-door study that measures statistics relating to race, gender, education, occupation, unemployment, and other demographic facto...
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Gait performance and foot pressure distribution during wearable robot-assisted gait in elderly adults.

Journal of neuroengineering and rehabilitation
BACKGROUND: A robotic exoskeleton device is an intelligent system designed to improve gait performance and quality of life for the wearer. Robotic technology has developed rapidly in recent years, and several robot-assisted gait devices were develope...
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A document-centric approach for developing the tolAPC ontology.

Journal of biomedical semantics
BACKGROUND: There are many challenges associated with ontology building, as the process often touches on many different subject areas; it needs knowledge of the problem domain, an understanding of the ontology formalism, software in use and, sometime...

A systematic review of data mining and machine learning for air pollution epidemiology.

BMC public health
BACKGROUND: Data measuring airborne pollutants, public health and environmental factors are increasingly being stored and merged. These big datasets offer great potential, but also challenge traditional epidemiological methods. This has motivated the...

Efficient Active Sensing with Categorized Further Explorations for a Home Behavior-Monitoring Robot.

Journal of healthcare engineering
Mobile robotics is a potential solution to home behavior monitoring for the elderly. For a mobile robot in the real world, there are several types of uncertainties for its perceptions, such as the ambiguity between a target object and the surrounding...

A Treatment-Response Index From Wearable Sensors for Quantifying Parkinson's Disease Motor States.

IEEE journal of biomedical and health informatics
The goal of this study was to develop an algorithm that automatically quantifies motor states (off, on, dyskinesia) in Parkinson's disease (PD), based on accelerometry during a hand pronation-supination test. Clinician's ratings using the Treatment R...