US Health Policy

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

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Value of robotic surgery simulation for training surgical residents and attendings: a systematic review protocol.

INTRODUCTION: Robotic surgery is a method of minimally invasive surgery performed through small inci...

Performance Analysis of State-of-the-Art CNN Architectures for LUNA16.

The convolutional neural network (CNN) has become a powerful tool in machine learning (ML) that is u...

Big data, machine learning, and population health: predicting cognitive outcomes in childhood.

The application of machine learning (ML) to address population health challenges has received much l...

Integrating nonlinear analysis and machine learning for human induced pluripotent stem cell-based drug cardiotoxicity testing.

Utilizing recent advances in human induced pluripotent stem cell (hiPSC) technology, nonlinear analy...

The Use of BP Neural Network Algorithm and Natural Language Processing in the Impact of Social Audit on Enterprise Innovation Ability.

At present, there are still some problems in the document management of enterprise innovation projec...

Defining the Morbidity of Robot-Assisted Radical Cystectomy with Intracorporeal Urinary Diversion: Adoption of the Comprehensive Complication Index.

The Clavien-Dindo Classification (CDC) only reports the postoperative complication of highest grade...

Improving the Accuracy of Ensemble Machine Learning Classification Models Using a Novel Bit-Fusion Algorithm for Healthcare AI Systems.

Healthcare AI systems exclusively employ classification models for disease detection. However, with ...

English Teaching Quality Monitoring and Multidimensional Analysis Based on the Internet of Things and Deep Learning Model.

With the development of the times, English as the universal language in the world has been highly va...

Exploring the Employment Quality Evaluation Model of Application-Oriented University Graduates by Deep Learning.

In view of the employment difficulties of college graduates, this paper analyzes the overflow of gra...

Optimistic reinforcement learning by forward Kullback-Leibler divergence optimization.

This paper addresses a new interpretation of the traditional optimization method in reinforcement le...

SensiMix: Sensitivity-Aware 8-bit index & 1-bit value mixed precision quantization for BERT compression.

Given a pre-trained BERT, how can we compress it to a fast and lightweight one while maintaining its...

Discovery of moiety preference by Shapley value in protein kinase family using random forest models.

BACKGROUND: Human protein kinases play important roles in cancers, are highly co-regulated by kinase...

It's the data, stupid: Inflection point for Artificial Intelligence in Indian healthcare.

Indian healthcare is fast growing and with significant chunk of it being in small, fragmented, infor...

Semicentralized Deep Deterministic Policy Gradient in Cooperative StarCraft Games.

In this article, we propose a novel semicentralized deep deterministic policy gradient (SCDDPG) algo...

Value of deep learning reconstruction at ultra-low-dose CT for evaluation of urolithiasis.

OBJECTIVES: To determine the diagnostic accuracy and image quality of ultra-low-dose computed tomogr...

China's Economic Forecast Based on Machine Learning and Quantitative Easing.

In this paper, six variables, including export value, real exchange rate, Chinese GDP, and US IPI, a...

Differentially Private Singular Value Decomposition for Training Support Vector Machines.

Support vector machine (SVM) is an efficient classification method in machine learning. The traditio...

Research and Forecast Analysis of Financial Stability for Policy Uncertainty.

The instability of financial market will have a great impact on money, bonds, and stocks and affect ...

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