Latest AI and machine learning research in health policy for healthcare professionals.
To lessen the rate of false critical arrhythmia alarms, we used robust heart rate estimation and cos...
High-resolution three-dimensional magnetic resonance imaging (3D-MRI) is being increasingly used to ...
BACKGROUND: snoReport uses RNA secondary structure prediction combined with machine learning as the ...
Elderly are confronted with reduced physical capabilities and increased metabolic energy cost of wal...
Low socioeconomic and health care access realities of being American Indian/Alaskan Native (AI/AN) i...
There is an increasing concern about the quality and quality assessment procedures of seafood. In th...
OBJECTIVE: Given the availability of extensive digitized healthcare data from medical records, claim...
Due to inherent uncertainties in measurement and analysis, groundwater quality assessment is a diffi...
Wireless sensor networks (WSNs) have become more and more diversified and are today able to also sup...
This paper, presents an inertial and magnetic sensor based technological platform, intended for arti...
Embedding cost-sensitive factors into the classifiers increases the classification stability and red...
Retrograde perigraft access to the aneurysmal sac for type 2 endoleak embolization is a relevant alt...
Identification and analysis of host-pathogen interactions (HPI) is essential to study infectious dis...
BACKGROUND: Preauthorisation is a control mechanism that is used by Health Insurance Providers (HIPs...
Models for predicting the probability of experiencing various health outcomes or adverse events over...
Market impact cost is the most significant portion of implicit transaction costs that can reduce the...
Anemia is common in patients with advanced chronic kidney disease (CKD). Though erythropoiesis-stimu...
In the present work, the degradation of methomyl has been carried out by using the ultrasound cavita...
Healthcare services increasingly use the activity recognition technology to track the daily activiti...
BACKGROUND: The digitization of healthcare data, resulting from the increasingly widespread adoption...
The secondary use of EHR data for research is expected to improve health outcomes for patients, but ...