Latest AI and machine learning research in health policy for healthcare professionals.
In this paper, several extreme learning machine (ELM) models, including standard extreme learning machine with sigmoid activation function (S-ELM), extreme learning machine with radial basis activation function (R-ELM), online sequential extreme learning machine (OS-ELM), and optimally pruned extreme learning machine (OP-ELM), are newly applied for predicting dissolved oxygen concentration with an...
Bruch's membrane opening-minimum rim width (BMO-MRW) is a recently proposed structural parameter which estimates the remaining nerve fiber bundles in the retina and is superior to other conventional structural parameters for diagnosing glaucoma. Measuring this structural parameter requires identification of BMO locations within spectral domain-optical coherence tomography (SD-OCT) volumes. While m...
The regulatory agencies should fulfil the data gap in toxicity for new chemicals including nano-sized compounds, like metal oxides nanoparticles (MeO ...
Clinical codes are used for public reporting purposes, are fundamental to determining public financing for hospitals, and form the basis for reimburse...
The stability of colistin methanesulfonate (CMS) was determined in quadruplicate in elastomeric home infusion pumps containing 1, 2 or 3 MU CMS and in...
OBJECTIVE: The rapid growth of online health social websites has captured a vast amount of healthcare information and made the information easy to acc...
With the passage of recent federal legislation, many medical institutions are now responsible for reaching target hospital readmission rates. Chronic ...
BACKGROUND: Biomedical data, e.g. from knowledge bases and ontologies, is increasingly made available following open linked data principles, at best a...
Estimation of common cost-effectiveness measures, including the incremental cost-effectiveness ratio and the net monetary benefit, is complicated by t...
Important information is encoded in free-text patient comments. We determine the most common topics in patient comments, design automatic topic classi...
Automatic milking systems (AMS) became commercially available in the early 1990s. These systems provide flexibility and improve the lifestyle of farme...
Plasmonic sensors have been used for a wide range of biological and chemical sensing applications. Emerging nanofabrication techniques have enabled th...
BACKGROUND: Several query federation engines have been proposed for accessing public Linked Open Data sources. However, in many domains, resources are...
Members of American Indian (AI) communities face many barriers to receiving both mental and physical healthcare. These barriers can have a negative ef...
To lessen the rate of false critical arrhythmia alarms, we used robust heart rate estimation and cost-sensitive support vector machines. The PhysioNet...
High-resolution three-dimensional magnetic resonance imaging (3D-MRI) is being increasingly used to delineate morphological changes underlying neurops...
BACKGROUND: snoReport uses RNA secondary structure prediction combined with machine learning as the basis to identify the two main classes of small nu...
Elderly are confronted with reduced physical capabilities and increased metabolic energy cost of walking. Exoskeletons that assist walking have the po...
Low socioeconomic and health care access realities of being American Indian/Alaskan Native (AI/AN) in the United States combined with decades of data ...
RATIONALE AND OBJECTIVES: Incorrect imaging protocol selection can contribute to increased healthcare cost and waste. To help healthcare providers imp...