Health Policy

Multi-Objective Particle Swarm Optimization Approach for Cost-Based Feature Selection in Classification.

Feature selection is an important data-preprocessing technique in classification problems such as bi...

Trans-oral robotic cleft surgery (TORCS) for palate and posterior pharyngeal wall reconstruction: A feasibility study.

BACKGROUND/AIM: Robot-assisted surgery has become increasingly routine, replacing open and laparosco...

FIR: An Effective Scheme for Extracting Useful Metadata from Social Media.

Recently, the use of social media for health information exchange is expanding among patients, physi...

Editorial Comment to Long-term quality of life outcomes and retreatment rates after robotic sacrocolpopexy.

How to build up the actionable knowledge base: the role of 'best fit' framework synthesis for studies of improvement in healthcare.

Increasing recognition of the role and value of theory in improvement work in healthcare offers the ...

"Body-In-The-Loop": Optimizing Device Parameters Using Measures of Instantaneous Energetic Cost.

This paper demonstrates methods for the online optimization of assistive robotic devices such as pow...

The potential of random forest and neural networks for biomass and recombinant protein modeling in Escherichia coli fed-batch fermentations.

Product quality assurance strategies in production of biopharmaceuticals currently undergo a transfo...

Cost-efficient FPGA implementation of basal ganglia and their Parkinsonian analysis.

The basal ganglia (BG) comprise multiple subcortical nuclei, which are responsible for cognition and...

Automated systems for the de-identification of longitudinal clinical narratives: Overview of 2014 i2b2/UTHealth shared task Track 1.

The 2014 i2b2/UTHealth Natural Language Processing (NLP) shared task featured four tracks. The first...

Development of wavelet-ANN models to predict water quality parameters in Hilo Bay, Pacific Ocean.

The main objective of this study is to apply artificial neural network (ANN) and wavelet-neural netw...

Global harmonization of safety regulations for the use of industrial robots-permission of collaborative operation and a related study by JNIOSH.

In December 2013, the Japanese Ministry of Health, Labour and Welfare (MHLW) partially amended the s...

A medical cost estimation with fuzzy neural network of acute hepatitis patients in emergency room.

Taiwan is an area where chronic hepatitis is endemic. Liver cancer is so common that it has been ran...

Sexual behavior and its relationship with semen quality parameters in Sahiwal breeding bulls.

AIM: The study was conducted at Artificial Breeding Research Centre, NDRI, Karnal, to determine the ...

Simulation of Smart Home Activity Datasets.

A globally ageing population is resulting in an increased prevalence of chronic conditions which aff...

FoodWiki: Ontology-Driven Mobile Safe Food Consumption System.

An ontology-driven safe food consumption mobile system is considered. Over 3,000 compounds are being...

Image Quality Assessment Using Human Visual DOG Model Fused With Random Forest.

Objective image quality assessment (IQA) plays an important role in the development of multimedia ap...

Comment on "Performance of ANFIS versus MLP-NN dissolved oxygen prediction models in water quality monitoring A. Najah & A. El-Shafie & O. A. Karim & Amr H. El-Shafie. Environ Sci Pollut Res (2014) 21:1658-1670".

Resident education in robotic-assisted vertical sleeve gastrectomy: outcomes and cost-analysis of 411 consecutive cases.

BACKGROUND: Robotic technology is increasingly prevalent in bariatric surgery, yet there are nationa...

Film-based delivery quality assurance for robotic radiosurgery: Commissioning and validation.

PURPOSE: Robotic radiosurgery demands comprehensive delivery quality assurance (DQA), but guidelines...

Re: Robot-Assisted Surgery for Kidney Cancer Increased Access to a Procedure that can Reduce Mortality and Renal Failure.

A Hebbian/Anti-Hebbian Neural Network for Linear Subspace Learning: A Derivation from Multidimensional Scaling of Streaming Data.

Neural network models of early sensory processing typically reduce the dimensionality of streaming i...