Military Medicine

Identifying probable post-traumatic stress disorder: applying supervised machine learning to data from a UK military cohort.

BACKGROUND: Early identification of probable post-traumatic stress disorder (PTSD) can lead to early intervention and treatment.

Ensemble machine learning prediction of posttraumatic stress disorder screening status after emergency room hospitalization.

Posttraumatic stress disorder (PTSD) develops in a substantial minority of emergency room admits. Inexpensive and accurate person-level assessment of PTSD risk after trauma exposure is a critical precursor to large-scale deployment of early interventions that may reduce individual suffering and societal costs. Toward this aim, we applied ensemble machine learning to predict PTSD screening status t...

Artificial intelligence and deep learning in ophthalmology.

Artificial intelligence (AI) based on deep learning (DL) has sparked tremendous global interest in recent years. DL has been widely adopted in image r...

Machine learning multivariate pattern analysis predicts classification of posttraumatic stress disorder and its dissociative subtype: a multimodal neuroimaging approach.

BACKGROUND: The field of psychiatry would benefit significantly from developing objective biomarkers that could facilitate the early identification of...

Predeployment predictors of psychiatric disorder-symptoms and interpersonal violence during combat deployment.

BACKGROUND: Preventing suicides, mental disorders, and noncombat-related interpersonal violence during deployment are priorities of the US Army. We us...

Telemedicine and telerobotics: from science fiction to reality.

Advances in communication technologies have paved the way for telemedicine to transform the delivery of medical care throughout the world. Coinciding ...

Mining patterns of comorbidity evolution in patients with multiple chronic conditions using unsupervised multi-level temporal Bayesian network.

Over the past few decades, the rise of multiple chronic conditions has become a major concern for clinicians. However, it is still not known precisely...

ProFUSO: Business process and ontology-based framework to develop ubiquitous computing support systems for chronic patients' management.

New advances in telemedicine, ubiquitous computing, and artificial intelligence have supported the emergence of more advanced applications and support...

Mobile technology and telemedicine for shoulder range of motion: validation of a motion-based machine-learning software development kit.

BACKGROUND: Mobile technology offers the prospect of delivering high-value care with increased patient access and reduced costs. Advances in mobile he...

Ensemble of shape functions and support vector machines for the estimation of discrete arm muscle activation from external biceps 3D point clouds.

BACKGROUND: Muscle activation level is currently being captured using impractical and expensive devices which make their use in telemedicine settings ...

Using Technology in Global Otolaryngology.

Technology is integral to the diverse diagnostics and interventions of Otolaryngology. Historically, major advances in this field derive from advances...

Modelling multi-rotor UAVs swarm deployment using virtual pheromones.

In this work, a swarm behaviour for multi-rotor Unmanned Aerial Vehicles (UAVs) deployment will be presented. The main contribution of this behaviour ...

[Position Paper of The AG Digital Health DNVF on Digital Health Applications: Framework Conditions For Use in Health Care, Structural Development and Science].

The term "digital health" is currently the most comprehensive term that includes all information and communication technologies in healthcare, includi...

Differential effects of childhood neglect and abuse during sensitive exposure periods on male and female hippocampus.

The hippocampus is a highly stress susceptible structure and hippocampal abnormalities have been reported in a host of psychiatric disorders including...

Efficient k-NN Implementation for Real-Time Detection of Cough Events in Smartphones.

The potential  of telemedicine in respiratory health care has not been completely unveiled in part due to the inexistence of reliable objective measur...

Stakeholders' Perceptions Sought to Inform the Development of a Low-Cost Mobile Robot for Older Adults: A Qualitative Descriptive Study.

Creative solutions are needed to support community-dwelling older adults residing in a variety of settings including their house, apartment, or Suppor...

Predicting posttraumatic stress disorder following a natural disaster.

Earthquakes are a common and deadly natural disaster, with roughly one-quarter of survivors subsequently developing posttraumatic stress disorder (PTS...

Machine learning methods to predict child posttraumatic stress: a proof of concept study.

BACKGROUND: The care of traumatized children would benefit significantly from accurate predictive models for Posttraumatic Stress Disorder (PTSD), usi...

Hybrid Disease Diagnosis Using Multiobjective Optimization with Evolutionary Parameter Optimization.

With the widespread adoption of e-Healthcare and telemedicine applications, accurate, intelligent disease diagnosis systems have been profoundly covet...

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

Compression algorithm is an essential part of Telemedicine systems, to store and transmit large amount of medical signals. Most of existing compressio...