Medicaid

Effects of a 14-Day Hydration Intervention on Individuals with Habitually Low Fluid Intake.

BACKGROUND: Debate continues over whether or not individuals with low total water intake (TWI) are i...

Low-Cost and Device-Free Human Activity Recognition Based on Hierarchical Learning Model.

Human activity recognition (HAR) has been a vital human-computer interaction service in smart homes....

Understanding Attitudes to Change to Healthier Hydration Habits: The Case of High Sugar: Low Water Drinkers in Mexico.

Adults consuming sugar-sweetened beverages (SSBs) are at increased risk of becoming overweight/obese...

Integrating human services and criminal justice data with claims data to predict risk of opioid overdose among Medicaid beneficiaries: A machine-learning approach.

Health system data incompletely capture the social risk factors for drug overdose. This study aimed ...

Long-chain alkanol-alkyl carboxylic acid-based low-viscosity hydrophobic deep eutectic solvents for one-pot extraction of anthraquinones from Rhei Radix et Rhizoma.

Natural long-chain alkanol and alkyl carboxylic acid were used to prepare novel hydrophobic deep eut...

A novel method for clinical risk prediction with low-quality data.

In real-world data, predictive models for clinical risks (such as adverse drug reactions, hospital r...

Image-guided robots for low dose rate prostate brachytherapy: Perspectives on safety in design and use.

BACKGROUND: Image-guided brachytherapy (BT) robots can be used to assist urologists during seed impl...

Robotic Prostatectomy and Prostate Cancer-Related Medicaid Spending: Evidence from New York State.

BACKGROUND: Robotic prostatectomy is a costly new technology, but the costs may be offset by changes...

Machine learning models to identify low adherence to influenza vaccination among Korean adults with cardiovascular disease.

BACKGROUND: Annual influenza vaccination is an important public health measure to prevent influenza ...

Automated detection of lung nodules and coronary artery calcium using artificial intelligence on low-dose CT scans for lung cancer screening: accuracy and prognostic value.

BACKGROUND: Artificial intelligence (AI) in diagnostic radiology is undergoing rapid development. It...

Three machine learning algorithms and their utility in exploring risk factors associated with primary cesarean section in low-risk women: A methods paper.

Machine learning, a branch of artificial intelligence, is increasingly used in health research, incl...

Low-dose PET image noise reduction using deep learning: application to cardiac viability FDG imaging in patients with ischemic heart disease.

INTRODUCTION: Cardiac [F]FDG-PET is widely used for viability testing in patients with chronic ische...

Monitoring social distancing under various low light conditions with deep learning and a single motionless time of flight camera.

The purpose of this work is to provide an effective social distance monitoring solution in low light...

Low-dose CT urography using deep learning image reconstruction: a prospective study for comparison with conventional CT urography.

OBJECTIVES: To compare the image quality of low-dose CT urography (LD-CTU) using deep learning image...

Robot-Assisted Radical Prostatectomy in Low-Volume Regions: Should It Be Abandoned or Adopted? A Multi-Institutional Outcome Study.

To present multinational experience in robot-assisted radical prostatectomy (RARP) by fellowship-tr...

Single Cell RNA-Seq and Machine Learning Reveal Novel Subpopulations in Low-Grade Inflammatory Monocytes With Unique Regulatory Circuits.

Subclinical doses of LPS (SD-LPS) are known to cause low-grade inflammatory activation of monocytes,...

Low-dose whole-body CT using deep learning image reconstruction: image quality and lesion detection.

OBJECTIVES: To evaluate image quality and lesion detection capabilities of low-dose (LD) portal veno...

Comprehensive Study on Enhancing Low-Quality Position-Specific Scoring Matrix with Deep Learning for Accurate Protein Structure Property Prediction: Using Bagging Multiple Sequence Alignment Learning.

A Low-Cost Three-Dimensional DenseNet Neural Network for Alzheimer's Disease Early Discovery.

Alzheimer's disease is the most prevalent dementia among the elderly population. Early detection is ...

Clinical Enhancement in AI-Based Post-processed Fast-Scan Low-Dose CBCT for Head and Neck Adaptive Radiotherapy.

To assess image quality and uncertainty in organ-at-risk segmentation on cone beam computed tomogra...

A low RENAL Nephrometry Score can avoid the need for the intraoperative insertion of a ureteral catheter in robot-assisted partial nephrectomy.

BACKGROUND: Intraoperative urinary collecting system entry (CSE) in robot-assisted partial nephrecto...