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

Showing 1849-1869 of 4,576 articles

Rebalancing the Scales: A Systematic Mapping Study of Generative Adversarial Networks (GANs) in Addressing Data Imbalance

Machine learning algorithms are used in diverse domains, many of which face significant challenges...

Feb 2025 http://arxiv.org/abs/2502.16535v1

Partial and Fully Homomorphic Matching of IP Addresses Against Blacklists for Threat Analysis

In many areas of cybersecurity, we require access to Personally Identifiable Information (PII), su...

Feb 2025 http://arxiv.org/abs/2502.16272v1

Enhancing LLMs for Identifying and Prioritizing Important Medical Jargons from Electronic Health Record Notes Utilizing Data Augmentation

OpenNotes enables patients to access EHR notes, but medical jargon can hinder comprehension. To im...

Feb 2025 http://arxiv.org/abs/2502.16022v2

CVE-LLM : Ontology-Assisted Automatic Vulnerability Evaluation Using Large Language Models

The National Vulnerability Database (NVD) publishes over a thousand new vulnerabilities monthly, w...

Feb 2025 http://arxiv.org/abs/2502.15932v1

Enhancing Domain-Specific Retrieval-Augmented Generation: Synthetic Data Generation and Evaluation using Reasoning Models

Retrieval-Augmented Generation (RAG) systems face significant performance gaps when applied to tec...

Feb 2025 http://arxiv.org/abs/2502.15854v1

From FAIR to CURE: Guidelines for Computational Models of Biological Systems

Guidelines for managing scientific data have been established under the FAIR principles requiring ...

Feb 2025 http://arxiv.org/abs/2502.15597v1

Integrating Generative AI in Cybersecurity Education: Case Study Insights on Pedagogical Strategies, Critical Thinking, and Responsible AI Use

The rapid advancement of Generative Artificial Intelligence (GenAI) has introduced new opportuniti...

Feb 2025 http://arxiv.org/abs/2502.15357v1

Bibliometric Analysis of Scientific Production on the COVID-19 Effect in Information Sciences

This paper analyzes the scientific production on the COVID-19 effect in the area of Information Sc...

Feb 2025 http://arxiv.org/abs/2502.14402v1

LabTOP: A Unified Model for Lab Test Outcome Prediction on Electronic Health Records

Lab tests are fundamental for diagnosing diseases and monitoring patient conditions. However, freq...

Feb 2025 http://arxiv.org/abs/2502.14259v3

MKE-Coder: Multi-Axial Knowledge with Evidence Verification in ICD Coding for Chinese EMRs

The task of automatically coding the International Classification of Diseases (ICD) in the medical...

Feb 2025 http://arxiv.org/abs/2502.14916v2

Domination in Graph Theory: A Bibliometric Analysis of Research Trends, Collaboration and Citation Networks

This study conducts a comprehensive bibliometric analysis of research on domination in graph theor...

Feb 2025 http://arxiv.org/abs/2503.08690v1

A Guide for Implementing an A.I-Driven Initiative in Rural Northern Ontario.

Diagnosing pulmonary embolism (PE) often requires specialized expertise in interpreting x-rays and r...

Feb 2025 39968552

Enhanced Anomaly Detection in IoMT Networks using Ensemble AI Models on the CICIoMT2024 Dataset

The rapid proliferation of Internet of Medical Things (IoMT) devices in healthcare has introduced ...

Feb 2025 http://arxiv.org/abs/2502.11854v1

Towards a Trustworthy Anomaly Detection for Critical Applications through Approximated Partial AUC Loss

Anomaly Detection is a crucial step for critical applications such in the industrial, medical or c...

Feb 2025 http://arxiv.org/abs/2502.11570v2

Primus: A Pioneering Collection of Open-Source Datasets for Cybersecurity LLM Training

Large Language Models (LLMs) have shown remarkable advancements in specialized fields such as fina...

Feb 2025 http://arxiv.org/abs/2502.11191v1

Leveraging Large Language Models for Cybersecurity: Enhancing SMS Spam Detection with Robust and Context-Aware Text Classification

This study evaluates the effectiveness of different feature extraction techniques and classificati...

Feb 2025 http://arxiv.org/abs/2502.11014v1

Practice Management

Browse Categories

Rebalancing the Scales: A Systematic Mapping Study of Generative Adversarial Networks (GANs) in Addressing Data Imbalance

Partial and Fully Homomorphic Matching of IP Addresses Against Blacklists for Threat Analysis

Enhancing LLMs for Identifying and Prioritizing Important Medical Jargons from Electronic Health Record Notes Utilizing Data Augmentation

CVE-LLM : Ontology-Assisted Automatic Vulnerability Evaluation Using Large Language Models

Enhancing Domain-Specific Retrieval-Augmented Generation: Synthetic Data Generation and Evaluation using Reasoning Models

From FAIR to CURE: Guidelines for Computational Models of Biological Systems

Integrating Generative AI in Cybersecurity Education: Case Study Insights on Pedagogical Strategies, Critical Thinking, and Responsible AI Use

Bibliometric Analysis of Scientific Production on the COVID-19 Effect in Information Sciences

LabTOP: A Unified Model for Lab Test Outcome Prediction on Electronic Health Records

MKE-Coder: Multi-Axial Knowledge with Evidence Verification in ICD Coding for Chinese EMRs

Domination in Graph Theory: A Bibliometric Analysis of Research Trends, Collaboration and Citation Networks

A Guide for Implementing an A.I-Driven Initiative in Rural Northern Ontario.

Enhanced Anomaly Detection in IoMT Networks using Ensemble AI Models on the CICIoMT2024 Dataset

Towards a Trustworthy Anomaly Detection for Critical Applications through Approximated Partial AUC Loss

Primus: A Pioneering Collection of Open-Source Datasets for Cybersecurity LLM Training

Leveraging Large Language Models for Cybersecurity: Enhancing SMS Spam Detection with Robust and Context-Aware Text Classification

MITRE ATT&CK Applications in Cybersecurity and The Way Forward

Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction

Leveraging large language models for structured information extraction from pathology reports

A Roadmap to Address Burnout in the Cybersecurity Profession: Outcomes from a Multifaceted Workshop

Decentralized Entropy-Based Ransomware Detection Using Autonomous Feature Resonance

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