Health Policy

Colistin methanesulfonate infusion solutions are stable over time and suitable for home administration.

The stability of colistin methanesulfonate (CMS) was determined in quadruplicate in elastomeric home...

User recommendation in healthcare social media by assessing user similarity in heterogeneous network.

OBJECTIVE: The rapid growth of online health social websites has captured a vast amount of healthcar...

A Natural Language Processing Framework for Assessing Hospital Readmissions for Patients With COPD.

With the passage of recent federal legislation, many medical institutions are now responsible for re...

Re: Robot-Assisted vs Open Adrenalectomy: Evaluation of Cost-Effectiveness and Peri-Operative Outcome.

BioFed: federated query processing over life sciences linked open data.

BACKGROUND: Biomedical data, e.g. from knowledge bases and ontologies, is increasingly made availabl...

Online Classification of Contaminants Based on Multi-Classification Support Vector Machine Using Conventional Water Quality Sensors.

Water quality early warning system is mainly used to detect deliberate or accidental water pollution...

Unsupervised ensemble ranking of terms in electronic health record notes based on their importance to patients.

BACKGROUND: Allowing patients to access their own electronic health record (EHR) notes through onlin...

Research and Application of an Air Quality Early Warning System Based on a Modified Least Squares Support Vector Machine and a Cloud Model.

The worsening atmospheric pollution increases the necessity of air quality early warning systems (EW...

Leveraging electronic health records for predictive modeling of post-surgical complications.

Hospital-specific electronic health record systems are used to inform clinical practice about best p...

A doubly robust approach for cost-effectiveness estimation from observational data.

Estimation of common cost-effectiveness measures, including the incremental cost-effectiveness ratio...

Improved image quality with simultaneously reduced radiation exposure: Knowledge-based iterative model reconstruction algorithms for coronary CT angiography in a clinical setting.

BACKGROUND: The aim of this study was to assess the potential for radiation dose reduction using kno...

Creation of a simple natural language processing tool to support an imaging utilization quality dashboard.

BACKGROUND: Testing for venous thromboembolism (VTE) is associated with cost and risk to patients (e...

Understanding patient satisfaction with received healthcare services: A natural language processing approach.

Important information is encoded in free-text patient comments. We determine the most common topics ...

Finances and returns for robotic dairies.

Automatic milking systems (AMS) became commercially available in the early 1990s. These systems prov...

Compact and low-cost humanoid hand powered by nylon artificial muscles.

This paper focuses on design, fabrication and characterization of a biomimetic, compact, low-cost an...

Computational Sensing Using Low-Cost and Mobile Plasmonic Readers Designed by Machine Learning.

Plasmonic sensors have been used for a wide range of biological and chemical sensing applications. E...

SAFE: SPARQL Federation over RDF Data Cubes with Access Control.

BACKGROUND: Several query federation engines have been proposed for accessing public Linked Open Dat...

Master-Leader-Slave Cuckoo Search with Parameter Control for ANN Optimization and Its Real-World Application to Water Quality Prediction.

Artificial neural networks (ANNs) have been employed to solve a broad variety of tasks. The selectio...

Barriers to Healthcare for American Indians Experiencing Homelessness.

Members of American Indian (AI) communities face many barriers to receiving both mental and physical...

Reducing false arrhythmia alarm rates using robust heart rate estimation and cost-sensitive support vector machines.

To lessen the rate of false critical arrhythmia alarms, we used robust heart rate estimation and cos...

Active Self-Paced Learning for Cost-Effective and Progressive Face Identification.

This paper aims to develop a novel cost-effective framework for face identification, which progressi...