Public Health & Policy

Health Policy

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

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A Cascaded Convolutional Neural Network for Assessing Signal Quality of Dynamic ECG.

Motion artifacts and myoelectrical noise are common issues complicating the collection and processin...

Decentralized distribution-sampled classification models with application to brain imaging.

BACKGROUND: In this age of big data, certain models require very large data stores in order to be in...

Transforming healthcare with big data analytics and artificial intelligence: A systematic mapping study.

The domain of healthcare has always been flooded with a huge amount of complex data, coming in at a ...

Ontology patterns for the representation of quality changes of cells in time.

BACKGROUND: Cell tracking experiments, based on time-lapse microscopy, have become an important tool...

Effect of storage on the quality of processed palm oil collected from local milling points within Ile-Ife, Osun State, Nigeria.

The influence of storage practices on physicochemical and microbial changes in crude palm oil (CPO) ...

Application of Artificial Intelligence in the Health Care Safety Context: Opportunities and Challenges.

There is a growing awareness that artificial intelligence (AI) has been used in the analysis of comp...

A machine learning-based service for estimating quality of genomes using PATRIC.

BACKGROUND: Recent advances in high-volume sequencing technology and mining of genomes from metageno...

Ontology-Based Healthcare Named Entity Recognition from Twitter Messages Using a Recurrent Neural Network Approach.

Named Entity Recognition (NER) in the healthcare domain involves identifying and categorizing diseas...

Practical High-Quality Electrostatic Potential Surfaces for Drug Discovery Using a Graph-Convolutional Deep Neural Network.

Inspecting protein and ligand electrostatic potential (ESP) surfaces in order to optimize electrosta...

Gait can reveal sleep quality with machine learning models.

Sleep quality is an important health indicator, and the current measurements of sleep rely on questi...

Artificial intelligence in healthcare: An essential guide for health leaders.

Artificial Intelligence (AI) is evolving rapidly in healthcare, and various AI applications have bee...

A Novel Air Quality Early-Warning System Based on Artificial Intelligence.

The problem of air pollution is a persistent issue for mankind and becoming increasingly serious in ...

[E-health and "Cancer outside the hospital walls", Big Data and artificial intelligence].

To heal otherwise in oncology has become an imperative of Public Health and an economic imperative i...

Ambient virtual scribes: Mutuo Health's AutoScribe as a case study of artificial intelligence-based technology.

Studies show that clinicians are increasingly burning out in large part from the clerical burden ass...

Predicting Quality of Overnight Glycaemic Control in Type 1 Diabetes Using Binary Classifiers.

In type 1 diabetes management, maintaining nocturnal blood glucose within target range can be challe...

nanite: using machine learning to assess the quality of atomic force microscopy-enabled nano-indentation data.

BACKGROUND: Atomic force microscopy (AFM) allows the mechanical characterization of single cells and...

Digital Innovations for Global Mental Health: Opportunities for Data Science, Task Sharing, and Early Intervention.

PURPOSE: Globally, individuals living with mental disorders are more likely to have access to a mobi...

3D cone-beam CT of the ankle using a novel twin robotic X-ray system: Assessment of image quality and radiation dose.

PURPOSE: To evaluate image quality (IQ) and radiation dose in cone-beam computed tomography (CBCT) o...

Multi-task learning for quality assessment of fetal head ultrasound images.

It is essential to measure anatomical parameters in prenatal ultrasound images for the growth and de...

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