US Health Policy

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

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An improved adaptive neuro fuzzy inference system model using conjoined metaheuristic algorithms for electrical conductivity prediction.

Precise prediction of water quality parameters plays a significant role in making an early alert of ...

Carbon price forecasting: a novel deep learning approach.

Carbon emission trading market promotes carbon emission reduction effectively. Accurate carbon price...

Reflex and reflective laboratory interventions for adding value to test results; an integral part of laboratory stewardship.

Post-analytical reflexive (automated) and/or reflective (patient tailored and thought driven) interv...

External validation study on the value of deep learning algorithm for the prediction of hematoma expansion from noncontrast CT scans.

BACKGROUND: Hematoma expansion is an independent predictor of patient outcome and mortality. The ear...

Optimization Method for Energy Saving of Rural Architectures in Hot Summer and Cold Winter Areas Based on Artificial Neural Network.

With the phased spatial planning of the rural revitalization strategy, the proportion of architectur...

[Clinical value of alternative technologies to standard laparoscopic cholecystectomy - single port, reduced port, robotics, NOTES].

Surgical interventions should ideally treat an existing disease curatively and achieve this with a l...

Optimal Synchronization of Unidirectionally Coupled FO Chaotic Electromechanical Devices With the Hierarchical Neural Network.

This article solves the problem of optimal synchronization, which is important but challenging for c...

The Predictive and Prognostic Value of Precystectomy Serum Gamma-Glutamyltransferase Levels in Patients With Invasive Bladder Cancer.

INTRODUCTION: The aim of the study was to elucidate the predictive and prognostic value of serum gam...

Introducing and applying Newtonian blurring: an augmented dataset of 126,000 human connectomes at braingraph.org.

Gaussian blurring is a well-established method for image data augmentation: it may generate a large ...

Guiding the design of superresolution tactile skins with taxel value isolines theory.

Tactile feedback is essential to make robots more agile and effective in unstructured environments. ...

Gender Identification in a Two-Level Hierarchical Speech Emotion Recognition System for an Italian Social Robot.

The real challenge in Human-Robot Interaction (HRI) is to build machines capable of perceiving human...

Machine Learning Predictability of Clinical Next Generation Sequencing for Hematologic Malignancies to Guide High-Value Precision Medicine.

Advancing diagnostic testing capabilities such as clinical next generation sequencing methods offer ...

From Mouse to Human: Cellular Morphometric Subtype Learned From Mouse Mammary Tumors Provides Prognostic Value in Human Breast Cancer.

Mouse models of cancer provide a powerful tool for investigating all aspects of cancer biology. In t...

The Predictive Value of Dynamic Intrinsic Local Metrics in Transient Ischemic Attack.

BACKGROUND: Transient ischemic attack (TIA) is known as "small stroke." However, the diagnosis of TI...

Detection and identification of tea leaf diseases based on AX-RetinaNet.

The accurate detection and identification of tea leaf diseases are conducive to its precise preventi...

Framework for Integrating Equity Into Machine Learning Models: A Case Study.

Predictive analytic models leveraging machine learning methods increasingly have become vital to hea...

DIFFnet: Diffusion Parameter Mapping Network Generalized for Input Diffusion Gradient Schemes and b-Value.

In MRI, deep neural networks have been proposed to reconstruct diffusion model parameters. However, ...

Deep Learning Reconstruction of Diffusion-weighted MRI Improves Image Quality for Prostatic Imaging.

Background Deep learning reconstruction (DLR) may improve image quality. However, its impact on diff...

Construction of computer model for enterprise green innovation by PSO-BPNN algorithm and its impact on economic performance.

The present work aims to analyze the elements that affect corporate green technology innovation and ...

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