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Subcategories: Sepsis

Showing 2437-2457 of 5,099 articles

Severity Classification of Chronic Obstructive Pulmonary Disease in Intensive Care Units: A Semi-Supervised Approach Using MIMIC-III Dataset

Chronic obstructive pulmonary disease (COPD) represents a significant global health burden, where ...

Apr 2025 http://arxiv.org/abs/2504.18593v1

Early Detection of Multidrug Resistance Using Multivariate Time Series Analysis and Interpretable Patient-Similarity Representations

Background and Objectives: Multidrug Resistance (MDR) is a critical global health issue, causing i...

Apr 2025 http://arxiv.org/abs/2504.17717v1

ExOSITO: Explainable Off-Policy Learning with Side Information for Intensive Care Unit Blood Test Orders

Ordering a minimal subset of lab tests for patients in the intensive care unit (ICU) can be challe...

Apr 2025 http://arxiv.org/abs/2504.17277v1

Waveform-Logmel Audio Neural Networks for Respiratory Sound Classification

Auscultatory analysis using an electronic stethoscope has attracted increasing attention in the cl...

Apr 2025 http://arxiv.org/abs/2504.17156v1

Balancing Fairness and Performance in Healthcare AI: A Gradient Reconciliation Approach

The rapid growth of healthcare data and advances in computational power have accelerated the adopt...

Apr 2025 http://arxiv.org/abs/2504.14388v1

Study on the mechanism of action of the active ingredient of Calculus Bovis in the treatment of sepsis by integrating single-cell sequencing and machine learning.

BACKGROUND: Sepsis, a complex inflammatory condition with high mortality rates, lacks effective trea...

Apr 2025 40258762

EarthGPT-X: Enabling MLLMs to Flexibly and Comprehensively Understand Multi-Source Remote Sensing Imagery

Recent advances in the visual-language area have developed natural multi-modal large language mode...

Apr 2025 http://arxiv.org/abs/2504.12795v1

TUMLS: Trustful Fully Unsupervised Multi-Level Segmentation for Whole Slide Images of Histology

Digital pathology, augmented by artificial intelligence (AI), holds significant promise for improv...

Apr 2025 http://arxiv.org/abs/2504.12718v1

Predictive Multiplicity in Survival Models: A Method for Quantifying Model Uncertainty in Predictive Maintenance Applications

In many applications, especially those involving prediction, models may yield near-optimal perform...

Apr 2025 http://arxiv.org/abs/2504.12156v1

Generalized probabilistic canonical correlation analysis for multi-modal data integration with full or partial observations

Background: The integration and analysis of multi-modal data are increasingly essential across var...

Apr 2025 http://arxiv.org/abs/2504.11610v1

Respiratory Inhaler Sound Event Classification Using Self-Supervised Learning

Asthma is a chronic respiratory condition that affects millions of people worldwide. While this co...

Apr 2025 http://arxiv.org/abs/2504.11246v1

Do We Really Need Curated Malicious Data for Safety Alignment in Multi-modal Large Language Models?

Multi-modal large language models (MLLMs) have made significant progress, yet their safety alignme...

Apr 2025 http://arxiv.org/abs/2504.10000v1

Enhancing Multi-task Learning Capability of Medical Generalist Foundation Model via Image-centric Multi-annotation Data

The emergence of medical generalist foundation models has revolutionized conventional task-specifi...

Apr 2025 http://arxiv.org/abs/2504.09967v1

CUT: Pruning Pre-Trained Multi-Task Models into Compact Models for Edge Devices

Multi-task learning has garnered widespread attention in the industry due to its efficient data ut...

Apr 2025 http://arxiv.org/abs/2504.09803v1

The Structural Safety Generalization Problem

LLM jailbreaks are a widespread safety challenge. Given this problem has not yet been tractable, w...

Apr 2025 http://arxiv.org/abs/2504.09712v1

Reconstructing Sepsis Trajectories from Clinical Case Reports using LLMs: the Textual Time Series Corpus for Sepsis

Clinical case reports and discharge summaries may be the most complete and accurate summarization ...

Apr 2025 http://arxiv.org/abs/2504.12326v1

Inferring Outcome Means of Exponential Family Distributions Estimated by Deep Neural Networks

While deep neural networks (DNNs) are widely used for prediction, inference on DNN-estimated subje...

Apr 2025 http://arxiv.org/abs/2504.09347v2

Accurate Diagnosis of Respiratory Viruses Using an Explainable Machine Learning with Mid-Infrared Biomolecular Fingerprinting of Nasopharyngeal Secretions

Accurate identification of respiratory viruses (RVs) is critical for outbreak control and public h...

Apr 2025 http://arxiv.org/abs/2504.09211v1

Multi-modal and Multi-view Fundus Image Fusion for Retinopathy Diagnosis via Multi-scale Cross-attention and Shifted Window Self-attention

The joint interpretation of multi-modal and multi-view fundus images is critical for retinopathy p...

Apr 2025 http://arxiv.org/abs/2504.09106v1

Multi-Modal Brain Tumor Segmentation via 3D Multi-Scale Self-attention and Cross-attention

Due to the success of CNN-based and Transformer-based models in various computer vision tasks, rec...

Apr 2025 http://arxiv.org/abs/2504.09088v1

Marmot: Multi-Agent Reasoning for Multi-Object Self-Correcting in Improving Image-Text Alignment

While diffusion models excel at generating high-quality images, they often struggle with accurate ...

Apr 2025 http://arxiv.org/abs/2504.20054v1