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Telemedicine

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A Trust Model for Ubiquitous Healthcare Environment on the Basis of Adaptable Fuzzy-Probabilistic Inference System.

IEEE journal of biomedical and health informatics
Trust is considered to be a determinant on psychologist selection which can ensure patient satisfaction. Hence, trust concept is essential to be introduced into ubiquitous healthcare (UH) environment oriented on patients with anxiety disorders. This ...

Prediction of outcome in internet-delivered cognitive behaviour therapy for paediatric obsessive-compulsive disorder: A machine learning approach.

International journal of methods in psychiatric research
BACKGROUND: There are no consistent predictors of treatment outcome in paediatric obsessive-compulsive disorder (OCD). One reason for this might be the use of suboptimal statistical methodology. Machine learning is an approach to efficiently analyse ...

A new near-lossless EEG compression method using ANN-based reconstruction technique.

Computers in biology and medicine
Compression algorithm is an essential part of Telemedicine systems, to store and transmit large amount of medical signals. Most of existing compression methods utilize fixed transforms such as discrete cosine transform (DCT) and wavelet and usually c...

The hospital of tomorrow in 10 points.

Critical care (London, England)
Technology has advanced rapidly in recent years and is continuing to do so, with associated changes in multiple areas, including hospital structure and function. Here we describe in 10 points our vision of some of the ways in which we see our hospita...

Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning.

Annual review of clinical psychology
Sensors in everyday devices, such as our phones, wearables, and computers, leave a stream of digital traces. Personal sensing refers to collecting and analyzing data from sensors embedded in the context of daily life with the aim of identifying human...

Experimental evaluation of magnified haptic feedback for robot-assisted needle insertion and palpation.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Haptic feedback has been proven to play a key role in enhancing the performance of teleoperated medical procedures. However, due to safety issues, commercially-available medical robots do not currently provide the clinician with haptic fe...

Reliability of Robotic Telemedicine for Assessing Critically Ill Patients with the Full Outline of UnResponsiveness Score and Glasgow Coma Scale.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association
PURPOSE: Telemedicine is increasingly utilized in the evaluation of critically ill patients, including those with decreased level of consciousness (LOC) or coma. Improving access to providers with neurologic expertise affords earlier triage and direc...

Analysis of Machine Learning Techniques for Heart Failure Readmissions.

Circulation. Cardiovascular quality and outcomes
BACKGROUND: The current ability to predict readmissions in patients with heart failure is modest at best. It is unclear whether machine learning techniques that address higher dimensional, nonlinear relationships among variables would enhance predict...

How can machine-learning methods assist in virtual screening for hyperuricemia? A healthcare machine-learning approach.

Journal of biomedical informatics
OBJECT: Our purpose was to develop a new machine-learning approach (a virtual health check-up) toward identification of those at high risk of hyperuricemia. Applying the system to general health check-ups is expected to reduce medical costs compared ...