Public Health & Policy

Medicaid

Latest AI and machine learning research in medicaid for healthcare professionals.

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Tensorial multiview low-rank high-order graph learning for context-enhanced domain adaptation.

Unsupervised Domain Adaptation (UDA) is a machine learning technique that facilitates knowledge tran...

Pre-training strategy for antiviral drug screening with low-data graph neural network: A case study in HIV-1 K103N reverse transcriptase.

Graph neural networks (GNN) offer an alternative approach to boost the screening effectiveness in dr...

Deep-learning reconstruction enhances image quality of Adamkiewicz Artery in low-keV dual-energy CT.

BACKGROUND: Low-keV virtual monoenergetic images (VMIs) of dual-energy computed tomography (CT) enha...

Dictionary trained attention constrained low rank and sparse autoencoder for hyperspectral anomaly detection.

Dictionary representations and deep learning Autoencoder (AE) models have proven effective in hypers...

Artificial intelligence and informatics in neonatal resuscitation.

Neonatal intensive care unit resuscitative care continually evolves and increasingly relies on data....

gGN: Representing the Gene Ontology as low-rank Gaussian distributions.

Computational representations of knowledge graphs are critical for several tasks in bioinformatics, ...

Application of a Deep Learning-Based Contrast-Boosting Algorithm to Low-Dose Computed Tomography Pulmonary Angiography With Reduced Iodine Load.

OBJECTIVE: The aim of this study was to assess the effectiveness of a deep learning-based image cont...

Role of Artificial intelligence model in prediction of low back pain using T2 weighted MRI of Lumbar spine.

BACKGROUND: Low back pain (LBP), the primary cause of disability, is the most common musculoskeletal...

Deep Spatio-Temporal Network for Low-SNR Cryo-EM Movie Frame Enhancement.

Cryo-EM in single particle analysis is known to have low SNR and requires to utilize several frames ...

Deep Learning-Based Synthetic Computed Tomography for Low-Field Brain Magnetic Resonance-Guided Radiation Therapy.

PURPOSE: Magnetic resonance (MR)-guided radiation therapy enables online adaptation to address intra...

Detection of Low Resilience Using Data-Driven Effective Connectivity Measures.

Conventional thresholding techniques for graph theory analysis, such as absolute, proportional and m...

Reconstructing and analyzing the invariances of low-dose CT image denoising networks.

BACKGROUND: Deep learning-based methods led to significant advancements in many areas of medical ima...

Development of a machine learning model to support low cost real-time Legionella monitoring in premise plumbing systems.

Legionella pneumophila (L. pneumophila) is a pathogenic bacterium primarily known for causing Legion...

Deep Learning-based 12-Lead Electrocardiogram for Low Left Ventricular Ejection Fraction Detection in Patients.

BACKGROUND: Reduced left ventricular ejection fraction (LVEF) initiates heart failure, and promptly ...

Integrating HRMAS-NMR Data and Machine Learning-Assisted Profiling of Metabolite Fluxes to Classify Low- and High-Grade Gliomas.

Diagnosing and classifying central nervous system tumors such as gliomas or glioblastomas pose a sig...

Traversing chemical space with active deep learning for low-data drug discovery.

Deep learning is accelerating drug discovery. However, current approaches are often affected by limi...

Machine learning in the diagnosis, management, and care of patients with low back pain: a scoping review of the literature and future directions.

BACKGROUND CONTEXT: Low back pain (LBP) remains the leading cause of disability globally. In recent ...

Using Natural Language Processing to develop risk-tier specific suicide prediction models for Veterans Affairs patients.

Suicide is a leading cause of death. Suicide rates are particularly elevated among Department of Vet...

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