Surveys

Generalized Recurrent Neural Network accommodating Dynamic Causal Modeling for functional MRI analysis.

Dynamic Causal Modeling (DCM) is an advanced biophysical model which explicitly describes the entire process from experimental stimuli to functional magnetic resonance imaging (fMRI) signals via neural activity and cerebral hemodynamics. To conduct a DCM study, one needs to represent the experimental stimuli as a compact vector-valued function of time, which is hard in complex tasks such as book r...

Reliability, validity and discriminant ability of the instrumental indices provided by a novel planar robotic device for upper limb rehabilitation.

BACKGROUND: In the last few years, there has been an increasing interest in the use of robotic devices to objectively quantify motor performance of patients after brain damage. Although these robot-derived measures can potentially add meaningful information about the patient's dexterity, as well as be used as outcome measurements after the rehabilitation treatment, they need to be validated before...

Robot Assisted Surgical Ward Rounds: Virtually Always There.

 While an explosion in technological sophistication has revolutionized surgery within the operating theatre, delivery of surgical ward-based care has ...

An intelligent algorithm for identification of optimum mix of demographic features for trust in medical centers in Iran.

Healthcare quality is affected by various factors including trust. Patients' trust to healthcare providers is one of the most important factors for tr...

Implementing assessments of robot-assisted technical skill in urological education: a systematic review and synthesis of the validity evidence.

OBJECTIVES: To systematically review and synthesise the validity evidence supporting intraoperative and simulation-based assessments of technical skil...

ESMAC BEST PAPER 2017: Using machine learning to overcome challenges in GMFCS level assignment.

We used the random forest classifier to predict Gross Motor Function Classification System (GMFCS) levels I-IV from patient reported abilities recorde...

Development and application of artificial neural network models to estimate values of a complex human thermal comfort index associated with urban heat and cool island patterns using air temperature data from a standard meteorological station.

The present study deals with the development and application of artificial neural network models (ANNs) to estimate the values of a complex human ther...

Bimodal fuzzy analytic hierarchy process (BFAHP) for coronary heart disease risk assessment.

Rooted deeply in medical multiple criteria decision-making (MCDM), risk assessment is very important especially when applied to the risk of being affe...

Determination of the Transplacental Transfer of Paclitaxel and Antipyrine by High Performance Liquid Chromatography Coupled with Photodiode Array Detector.

placental perfusion experiments are important in understanding the quantity and mechanisms of xenobiotic transport to the fetus during pregnancy. Our...

Developing robust arsenic awareness prediction models using machine learning algorithms.

Arsenic awareness plays a vital role in ensuring the sustainability of arsenic mitigation technologies. Thus far, however, few studies have dealt with...

Analysis of Spatio-Temporal Representations for Robust Footstep Recognition with Deep Residual Neural Networks.

Human footsteps can provide a unique behavioural pattern for robust biometric systems. We propose spatio-temporal footstep representations from floor-...

Technology-assisted risk of bias assessment in systematic reviews: a prospective cross-sectional evaluation of the RobotReviewer machine learning tool.

OBJECTIVES: To evaluate the reliability of RobotReviewer's risk of bias judgments.

A test of the adaptive network explanation of functional disorders using a machine learning analysis of symptoms.

The classification and etiology of functional disorders is controversial. Evidence supports both psychological and biological (disease) models that sh...

Dietary antioxidants and 10-year lung function decline in adults from the ECRHS survey.

The relationship between lung function decline and dietary antioxidants over 10 years in adults from three European countries was investigated.In 2002...

Chitosan/nanohydroxyapatite composite based scallop shells as an efficient adsorbent for mercuric ions: Static and dynamic adsorption studies.

Chitosan/nanohydroxyapatite composites based on scallop shells (CP12, CP14 and CP21) were prepared with different chitosan: nanohydroxyapatite ratios ...

Modeling the control of the central nervous system over the cardiovascular system using support vector machines.

The control of the central nervous system (CNS) over the cardiovascular system (CS) has been modeled using different techniques, such as fuzzy inducti...

A pilot study exploring staff acceptability of a socially assistive robot in a residential care facility that accommodates people under 65 years old.

ABSTRACTSocially assistive robots have successfully been trialed in residential care facilities (RCFs) for older adults. These robots may have potenti...

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

The goal of this study was to develop an algorithm that automatically quantifies motor states (off, on, dyskinesia) in Parkinson's disease (PD), based...

Genomic risk prediction of aromatase inhibitor-related arthralgia in patients with breast cancer using a novel machine-learning algorithm.

Many breast cancer (BC) patients treated with aromatase inhibitors (AIs) develop aromatase inhibitor-related arthralgia (AIA). Candidate gene studies ...

A survey of machine learning applications in HIV clinical research and care.

A wealth of genetic, demographic, clinical and biomarker data is collected from routine clinical care of HIV patients and exists in the form of medica...