Health Policy

Deep Generative Adversarial Neural Networks for Compressive Sensing MRI.

Undersampled magnetic resonance image (MRI) reconstruction is typically an ill-posed linear inverse ...

A machine-learning framework for automatic reference-free quality assessment in MRI.

Magnetic resonance (MR) imaging offers a wide variety of imaging techniques. A large amount of data ...

Quality of life with conservative care compared with assisted peritoneal dialysis and haemodialysis.

BACKGROUND: There is little information about quality of life (QoL) for patients with end-stage kidn...

Machine learning for energy cost modelling in wastewater treatment plants.

Understanding the energy cost structure of wastewater treatment plants is a relevant topic for plant...

Suprapubic versus urethral catheter drainage in robotic-assisted laparoscopic prostatectomy: advancing systematic review quality.

Autonomous multi-joint soft exosuit with augmentation-power-based control parameter tuning reduces energy cost of loaded walking.

BACKGROUND: Soft exosuits are a recent approach for assisting human locomotion, which apply assistiv...

Discovery of quality control markers from traditional Chinese medicines by fingerprint-efficacy modeling: Current status and future perspectives.

Quality control (QC) is crucial for ensuring the safety and effectiveness of traditional Chinese med...

Vasopressin antagonist-like effect of acetazolamide in a heart failure patient: a case report.

BACKGROUND: Hyponatraemia is easily corrected by treatment with an oral vasopressin antagonist, but ...

CogStack - experiences of deploying integrated information retrieval and extraction services in a large National Health Service Foundation Trust hospital.

BACKGROUND: Traditional health information systems are generally devised to support clinical data co...

A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data.

BACKGROUND: Heart failure is one of the leading causes of hospitalization in the United States. Adva...

Detection of genetic cardiac diseases by Ca transient profiles using machine learning methods.

Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) have revolutionized cardiovas...

Comparison of Models for Predicting Quality of Life After Surgical Resection of Hepatocellular Carcinoma: a Prospective Study.

BACKGROUND: The essential issue of internal validity has not been adequately addressed in prediction...

Rough sets and Laplacian score based cost-sensitive feature selection.

Cost-sensitive feature selection learning is an important preprocessing step in machine learning and...

Quantitative susceptibility mapping using deep neural network: QSMnet.

Deep neural networks have demonstrated promising potential for the field of medical image reconstruc...

From lexical regularities to axiomatic patterns for the quality assurance of biomedical terminologies and ontologies.

Ontologies and terminologies have been identified as key resources for the achievement of semantic i...

Unsupervised Bayesian Inference to Fuse Biosignal Sensory Estimates for Personalizing Care.

The role of sensing technologies, such as wearables, in delivering precision care is becoming widely...

A supervised learning approach for diffusion MRI quality control with minimal training data.

Quality control (QC) is a fundamental component of any study. Diffusion MRI has unique challenges th...

Robotic mitral valve surgery: Additive benefits without additive cost.

Anthropogenic activities impact on atmospheric environmental quality in a gas-flaring community: application of fuzzy logic modelling concept.

We present a modelling concept for evaluating the impacts of anthropogenic activities suspected to b...

Forecasting air quality time series using deep learning.

UNLABELLED: This paper presents one of the first applications of deep learning (DL) techniques to pr...

Reshaping Movement Distributions With Limit-Push Robotic Training.

High-cost situations need to be avoided. However, occasionally, cost may only be learned by experien...