Public Health & Policy

Health Policy

Latest AI and machine learning research in health policy for healthcare professionals.

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Soybean inoculants in Brazil: an overview of quality control.

The bacterial strains SEMIA 587 and 5019 (Bradyrhizobium elkanii), 5079 (Bradyrhizobium japonicum), ...

Improvement of image quality at CT and MRI using deep learning.

Deep learning has been developed by computer scientists. Here, we discuss techniques for improving t...

High quality imaging from sparsely sampled computed tomography data with deep learning and wavelet transform in various domains.

PURPOSE: Sparsely sampled computed tomography (CT) has been attracting attention as a technique that...

RNA3DCNN: Local and global quality assessments of RNA 3D structures using 3D deep convolutional neural networks.

Quality assessment is essential for the computational prediction and design of RNA tertiary structur...

A combined modelling of fuzzy logic and Time-Driven Activity-based Costing (TDABC) for hospital services costing under uncertainty.

Hospital traditional cost accounting systems have inherent limitations that restrict their usefulnes...

Supervised machine learning quality control for magnetic resonance artifacts in neonatal data sets.

Quality control (QC) of brain magnetic resonance images (MRI) is an important process requiring a si...

Supervised machine learning to decipher the complex associations between neuro-immune biomarkers and quality of life in schizophrenia.

Stable phase schizophrenia is characterized by altered patterning in tryptophan catabolites (TRYCATs...

Machine learning approaches for predicting high cost high need patient expenditures in health care.

BACKGROUND: This paper studies the temporal consistency of health care expenditures in a large state...

Using telepresence for social connection: views of older people with dementia, families, and health professionals from a mixed methods pilot study.

To explore the acceptability of telepresence robots in dementia care from the perspectives of peopl...

Sequential prediction of quantitative health risk assessment for the fine particulate matter in an underground facility using deep recurrent neural networks.

Particulate matter with aerodynamic diameter less than 2.5 µm (PM) in indoor public spaces such as s...

Two New Heuristic Methods for Protein Model Quality Assessment.

Protein tertiary structure prediction is an important open challenge in bioinformatics and requires ...

Acute Effects of Smoked and Vaporized Cannabis in Healthy Adults Who Infrequently Use Cannabis: A Crossover Trial.

IMPORTANCE: Vaporization is an increasingly popular method for cannabis administration, and policy c...

Learning-Based Quality Control for Cardiac MR Images.

The effectiveness of a cardiovascular magnetic resonance (CMR) scan depends on the ability of the op...

Ensemble machine learning prediction of posttraumatic stress disorder screening status after emergency room hospitalization.

Posttraumatic stress disorder (PTSD) develops in a substantial minority of emergency room admits. In...

Using meteorological normalisation to detect interventions in air quality time series.

Interventions used to improve air quality are often difficult to detect in air quality time series d...

Iterative quality enhancement via residual-artifact learning networks for low-dose CT.

Radiation exposure and the associated risk of cancer for patients in computed tomography (CT) scans ...

A multi-strain probiotic administered via drinking water enhances feed conversion efficiency and meat quality traits in indigenous chickens.

Whereas the use of probiotics is commonplace in commercial production of improved chicken strains, l...

Retinal image quality assessment using deep learning.

Poor-quality retinal images do not allow an accurate medical diagnosis, and it is inconvenient for a...

TopScore: Using Deep Neural Networks and Large Diverse Data Sets for Accurate Protein Model Quality Assessment.

The value of protein models obtained with automated protein structure prediction depends primarily o...

Medical Image Quality Assessment Using CSO Based Deep Neural Network.

This manuscript proposed a hybrid method of Deep Neural Network (DNN) and Cuckoo Search Optimization...

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