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Showing 1660-1680 of 4,576 articles

Anomaly Detection and Generation with Diffusion Models: A Survey

Anomaly detection (AD) plays a pivotal role across diverse domains, including cybersecurity, finan...

Jun 2025 http://arxiv.org/abs/2506.09368v1

Are Trees Really Green? A Detection Approach of IoT Malware Attacks

Nowadays, the Internet of Things (IoT) is widely employed, and its usage is growing exponentially ...

Jun 2025 http://arxiv.org/abs/2506.07836v1

Enhanced Consistency Bi-directional GAN(CBiGAN) for Malware Anomaly Detection

Static analysis, a cornerstone technique in cybersecurity, offers a noninvasive method for detecti...

Jun 2025 http://arxiv.org/abs/2506.07372v1

Fuse and Federate: Enhancing EV Charging Station Security with Multimodal Fusion and Federated Learning

The rapid global adoption of electric vehicles (EVs) has established electric vehicle supply equip...

Jun 2025 http://arxiv.org/abs/2506.06730v1

SAFER: A Calibrated Risk-Aware Multimodal Recommendation Model for Dynamic Treatment Regimes

Dynamic treatment regimes (DTRs) are critical to precision medicine, optimizing long-term outcomes...

Jun 2025 http://arxiv.org/abs/2506.06649v1

ICU-TSB: A Benchmark for Temporal Patient Representation Learning for Unsupervised Stratification into Patient Cohorts

Patient stratification identifying clinically meaningful subgroups is essential for advancing pers...

Jun 2025 http://arxiv.org/abs/2506.06192v1

UTSA-NLP at ArchEHR-QA 2025: Improving EHR Question Answering via Self-Consistency Prompting

We describe our system for the ArchEHR-QA Shared Task on answering clinical questions using electr...

Jun 2025 http://arxiv.org/abs/2506.05589v1

From EHRs to Patient Pathways: Scalable Modeling of Longitudinal Health Trajectories with LLMs

Healthcare systems face significant challenges in managing and interpreting vast, heterogeneous pa...

Jun 2025 http://arxiv.org/abs/2506.04831v1

A Dataset for Addressing Patient's Information Needs related to Clinical Course of Hospitalization

Patients have distinct information needs about their hospitalization that can be addressed using c...

Jun 2025 http://arxiv.org/abs/2506.04156v1

AI Agents for Conversational Patient Triage: Preliminary Simulation-Based Evaluation with Real-World EHR Data

Background: We present a Patient Simulator that leverages real world patient encounters which cove...

Jun 2025 http://arxiv.org/abs/2506.04032v1

Hybrid Ensemble of Segmentation-Assisted Classification and GBDT for Skin Cancer Detection with Engineered Metadata and Synthetic Lesions from ISIC 2024 Non-Dermoscopic 3D-TBP Images

Skin cancer is among the most prevalent and life-threatening diseases worldwide, with early detect...

Jun 2025 http://arxiv.org/abs/2506.03420v1

On the Robustness of Tabular Foundation Models: Test-Time Attacks and In-Context Defenses

Recent tabular Foundational Models (FM) such as TabPFN and TabICL, leverage in-context learning to...

Jun 2025 http://arxiv.org/abs/2506.02978v1

A Dynamic Framework for Semantic Grouping of Common Data Elements (CDE) Using Embeddings and Clustering

This research aims to develop a dynamic and scalable framework to facilitate harmonization of Comm...

Jun 2025 http://arxiv.org/abs/2506.02160v1

A Large Language Model-Supported Threat Modeling Framework for Transportation Cyber-Physical Systems

Modern transportation systems rely on cyber-physical systems (CPS), where cyber systems interact s...

Jun 2025 http://arxiv.org/abs/2506.00831v1

On the use of natural language processing to implement the target trial framework using unstructured data from the electronic health record.

The increasing availability and accessibility of electronic health record (EHR) data has made it a r...

Jun 2025 40476041

Multi-Gate Mixture of Multi-View Graph Contrastive Learning on Electronic Health Record.

Electronic Health Record (EHR) is the digital form of patient visits that contains various medical d...

Jun 2025 37851554

Semi-Supervised PARAFAC2 Decomposition for Computational Phenotyping Using Electronic Health Records.

Computational phenotyping uses data mining methods to extract clusters of clinical descriptors, know...

Jun 2025 40031025

Predicting postoperative chronic opioid use with fair machine learning models integrating multi-modal data sources: a demonstration of ethical machine learning in healthcare.

OBJECTIVE: Building upon our previous work on predicting chronic opioid use using electronic health ...

Jun 2025 40152140

Beyond Phecodes: leveraging PheMAP to identify patients lacking diagnosis codes in electronic health records.

OBJECTIVE: Diagnosis codes documented in electronic health records (EHR) are often relied upon to cl...

Jun 2025 40156924

Development and External Validation of a Detection Model to Retrospectively Identify Patients With Acute Respiratory Distress Syndrome.

OBJECTIVE: The aim of this study was to develop and externally validate a machine-learning model tha...

Jun 2025 40197621

Automating the Addiction Behaviors Checklist for Problematic Opioid Use Identification.

IMPORTANCE: Individuals whose chronic pain is managed with opioids are at high risk of developing an...

Jun 2025 40202749