Public Health & Policy

Medicaid

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

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Detection of broken rotor bar faults in induction motor at low load using neural network.

The knowledge of the broken rotor bars characteristic frequencies and amplitudes has a great importa...

Low-dose CT reconstruction via L1 dictionary learning regularization using iteratively reweighted least-squares.

BACKGROUND: In order to reduce the radiation dose of CT (computed tomography), compressed sensing th...

Gene expression prediction using low-rank matrix completion.

BACKGROUND: An exponential growth of high-throughput biological information and data has occurred in...

FDI based on Artificial Neural Network for Low-Voltage-Ride-Through in DFIG-based Wind Turbine.

As per modern electrical grid rules, Wind Turbine needs to operate continually even in presence seve...

Mitigation of Effects of Occlusion on Object Recognition with Deep Neural Networks through Low-Level Image Completion.

Heavily occluded objects are more difficult for classification algorithms to identify correctly than...

Proposal for an All-Spin Artificial Neural Network: Emulating Neural and Synaptic Functionalities Through Domain Wall Motion in Ferromagnets.

Non-Boolean computing based on emerging post-CMOS technologies can potentially pave the way for low-...

Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI.

OBJECTIVE: To obtain high-quality positron emission tomography (PET) image with low-dose tracer inje...

Fuzzy logic-based assessment for mapping potential infiltration areas in low-gradient watersheds.

This paper gives an account of the design a logic-based approach for identifying potential infiltrat...

An ultra-low-voltage electronic implementation of inertial neuron model with nonmonotonous Liao's activation function.

The output of every neuron in neural network is specified by the employed activation function (AF) a...

Robotic versus laparoscopic low anterior resection for rectal cancer: a meta-analysis.

BACKGROUND: The objective of this meta-analysis was to compare the clinical and oncologic outcomes o...

Adapting a Low-Cost Selective Compliant Articulated Robotic Arm for Spillage Avoidance.

Flexible automation systems provide the needed adaptability to serve shorter-term projects and speci...

Low-dimensional dynamics of structured random networks.

Using a generalized random recurrent neural network model, and by extending our recently developed m...

Real-Time Monitoring and Fault Diagnosis of a Low Power Hub Motor Using Feedforward Neural Network.

Low power hub motors are widely used in electromechanical systems such as electrical bicycles and so...

Low vitamin D level in pediatric patients with new onset type 1 diabetes is common, especially if in ketoacidosis.

BACKGROUND: Vitamin D deficiency (VDD) adversely affects bone health. US data on prevalence of VDD o...

Uncovering low-dimensional, miR-based signatures of acute myeloid and lymphoblastic leukemias with a machine-learning-driven network approach.

Complex phenotypic differences among different acute leukemias cannot be fully captured by analyzing...

Low osteocalcin level is a risk factor for impaired glucose metabolism in a Chinese male population.

AIMS/INTRODUCTION: This study was to assess the association between serum osteocalcin level and gluc...

The effects of a low-carbohydrate diet on appetite: A randomized controlled trial.

BACKGROUND AND AIMS: The relationship between dietary macronutrient composition and appetite is cont...

Learning Low-Rank Class-Specific Dictionary and Sparse Intra-Class Variant Dictionary for Face Recognition.

Face recognition is challenging especially when the images from different persons are similar to eac...

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