Public Health & Policy

Health Policy

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

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Computational health economics for identification of unprofitable health care enrollees.

Health insurers may attempt to design their health plans to attract profitable enrollees while deter...

SVMQA: support-vector-machine-based protein single-model quality assessment.

MOTIVATION: The accurate ranking of predicted structural models and selecting the best model from a ...

The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables.

Evaluating whether machines improve on human performance is one of the central questions of machine ...

Image quality classification for DR screening using deep learning.

The quality of input images significantly affects the outcome of automated diabetic retinopathy (DR)...

Design and characterization of low-cost fabric-based flat pneumatic actuators for soft assistive glove application.

We present the design of low-cost fabric-based Hat pneumatic actuators for soft assistive glove appl...

ProQ3D: improved model quality assessments using deep learning.

SUMMARY: Protein quality assessment is a long-standing problem in bioinformatics. For more than a de...

De-identification of patient notes with recurrent neural networks.

OBJECTIVE: Patient notes in electronic health records (EHRs) may contain critical information for me...

Auditory inspired machine learning techniques can improve speech intelligibility and quality for hearing-impaired listeners.

Machine-learning based approaches to speech enhancement have recently shown great promise for improv...

Cadaveric Testing of Robot-Assisted Access to the Internal Auditory Canal for Vestibular Schwannoma Removal.

HYPOTHESIS: An image-guided robotic system can safely perform the bulk removal of bone during the tr...

QAcon: single model quality assessment using protein structural and contact information with machine learning techniques.

MOTIVATION: Protein model quality assessment (QA) plays a very important role in protein structure p...

Robots in healthcare security and safety: the future is now.

Robot security officers cur- rently are now available to perform functions which are not cost-effect...

Cost-effective batch production process of scFv antibody in Escherichia coli.

BACKGROUND: Cost-effective production of antibody (Ab) fragments is of great interests of many pharm...

NT-proBNP Predicts All-Cause Mortality in a Population of Insurance Applicants, Follow-up Analysis and Further Observations.

OBJECTIVE: - Further refine the independent value of NT-proBNP, accounting for the impact of other t...

Digital Mental Health - Innovations in Consumer Driven Care.

Barriers such as stigma and access issues prevent 60% of Canadians with mental health issues from se...

Automated Classification of Multi-Labeled Patient Safety Reports: A Shift from Quantity to Quality Measure.

Over the past two decades, there have seen an ever-increasing amount of patient safety reports yet t...

Uncovering Hidden Topics in Hong Kong Clinical Research Through Hospital Authority Convention Publications.

Uncovering clinical research trends allows us to understand the direction of healthcare services and...

Developing Methodologies to Find Abbreviated Laboratory Test Names in Narrative Clinical Documents by Generating High Quality Q-Grams.

Laboratory test names are used as basic information to diagnose diseases. However, this kind of medi...

Enhancement of digital radiography image quality using a convolutional neural network.

Digital radiography system is widely used for noninvasive security check and medical imaging examina...

Light-Weighted Automatic Import of Standardized Ontologies into the Content Management System Drupal.

The amount of ontologies, which are utilizable for widespread domains, is growing steadily. BioPorta...

Linked Data Applications Through Ontology Based Data Access in Clinical Research.

Clinical care and research data are widely dispersed in isolated systems based on heterogeneous data...

Actionable, long-term stable and semantic web compatible identifiers for access to biological collection objects.

UNLABELLED: With biodiversity research activities being increasingly shifted to the web, the need fo...

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