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Practice-Management Subcategories: Information Technology Medicolegal Practice Management Reimbursement Staffing & Scheduling

Showing 2017-2037 of 2,458 articles

DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation

The rapid development of online recruitment platforms has created unprecedented opportunities for ...

Oct 2024 http://arxiv.org/abs/2410.07671v2

Compressing Recurrent Neural Networks for FPGA-accelerated Implementation in Fluorescence Lifetime Imaging

Fluorescence lifetime imaging (FLI) is an important technique for studying cellular environments a...

Oct 2024 http://arxiv.org/abs/2410.00948v1

Conversational Swarms of Humans and AI Agents enable Hybrid Collaborative Decision-making

Conversational Swarm Intelligence (CSI) is an AI-powered communication and collaboration technolog...

Sep 2024 http://arxiv.org/abs/2410.03690v1

Optimizing Job Shop Scheduling in the Furniture Industry: A Reinforcement Learning Approach Considering Machine Setup, Batch Variability, and Intralogistics

This paper explores the potential application of Deep Reinforcement Learning in the furniture indu...

Sep 2024 http://arxiv.org/abs/2409.11820v1

Programmable Cycle-Specified Queue for Long-Distance Industrial Deterministic Packet Scheduling

The time-critical industrial applications pose intense demands for enabling long-distance determin...

Sep 2024 http://arxiv.org/abs/2409.09592v1

Deadline and Priority Constrained Immersive Video Streaming Transmission Scheduling

Deadline-aware transmission scheduling in immersive video streaming is crucial. The objective is t...

Aug 2024 http://arxiv.org/abs/2408.17028v1

HRGraph: Leveraging LLMs for HR Data Knowledge Graphs with Information Propagation-based Job Recommendation

Knowledge Graphs (KGs) serving as semantic networks, prove highly effective in managing complex in...

Aug 2024 http://arxiv.org/abs/2408.13521v1

Using Natural Language Processing on Expert Panel Discussions to Gain Insights for Recruitment, Retention and Intervention Adherence for Online Social Support Interventions on a Stage II-III Clinical Trial Among Hispanic and African American Dementia Caregivers.

We applied natural language processing (NLP) to a corpus extracted from 4 hours of expert panel disc...

Aug 2024 39176734

Development of a Data Model to Predict Nursing Workload Using Routine Clinical Data.

The effective management of human resources in nursing is fundamental to ensuring high-quality care....

Aug 2024 39176968

Learning to Explore for Stochastic Gradient MCMC

Bayesian Neural Networks(BNNs) with high-dimensional parameters pose a challenge for posterior inf...

Aug 2024 http://arxiv.org/abs/2408.09140v1

When Trust is Zero Sum: Automation Threat to Epistemic Agency

AI researchers and ethicists have long worried about the threat that automation poses to human dig...

Aug 2024 http://arxiv.org/abs/2408.08846v2

CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning

Due to domain shift, deep learning image classifiers perform poorly when applied to a domain diffe...

Aug 2024 http://arxiv.org/abs/2408.04949v1

The Literature Review Network: An Explainable Artificial Intelligence for Systematic Literature Reviews, Meta-analyses, and Method Development

Systematic literature reviews are the highest quality of evidence in research. However, the review...

Aug 2024 http://arxiv.org/abs/2408.05239v1

The Mismeasure of Man and Models: Evaluating Allocational Harms in Large Language Models

Large language models (LLMs) are now being considered and even deployed for applications that supp...

Aug 2024 http://arxiv.org/abs/2408.01285v1

EFG-CS: Predicting chemical shifts from amino acid sequences with protein structure prediction using machine learning and deep learning models.

Nuclear magnetic resonance (NMR) crystallography is one of the main methods in structural biology fo...

Aug 2024 38979954

Practice Management

Browse Categories

DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation

Compressing Recurrent Neural Networks for FPGA-accelerated Implementation in Fluorescence Lifetime Imaging

Conversational Swarms of Humans and AI Agents enable Hybrid Collaborative Decision-making

Optimizing Job Shop Scheduling in the Furniture Industry: A Reinforcement Learning Approach Considering Machine Setup, Batch Variability, and Intralogistics

Programmable Cycle-Specified Queue for Long-Distance Industrial Deterministic Packet Scheduling

Deadline and Priority Constrained Immersive Video Streaming Transmission Scheduling

HRGraph: Leveraging LLMs for HR Data Knowledge Graphs with Information Propagation-based Job Recommendation

Using Natural Language Processing on Expert Panel Discussions to Gain Insights for Recruitment, Retention and Intervention Adherence for Online Social Support Interventions on a Stage II-III Clinical Trial Among Hispanic and African American Dementia Caregivers.

Development of a Data Model to Predict Nursing Workload Using Routine Clinical Data.

Learning to Explore for Stochastic Gradient MCMC

When Trust is Zero Sum: Automation Threat to Epistemic Agency

CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning

The Literature Review Network: An Explainable Artificial Intelligence for Systematic Literature Reviews, Meta-analyses, and Method Development

The Mismeasure of Man and Models: Evaluating Allocational Harms in Large Language Models

EFG-CS: Predicting chemical shifts from amino acid sequences with protein structure prediction using machine learning and deep learning models.

Recording First-person Experiences to Build a New Type of Foundation Model

GR-pKa: a message-passing neural network with retention mechanism for pKa prediction.

Nursing Education and Artificial Intelligence.

Staff Management with AI: Predicting the Nursing Workload.

Assessing the Feasibility, and Efficacy of Virtual Reality Navigational Training for Older Adults

User Behavior Analysis and Clustering in a MMO Mobile Game: Insights and Recommendations

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