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Showing 1828-1848 of 5,418 articles

Discovering the influence of personal features in psychological processes using Artificial Intelligence techniques: the case of COVID19 lockdown in Spain

At the end of 2019, an outbreak of a novel coronavirus was reported in China, leading to the COVID...

Feb 2025 http://arxiv.org/abs/2503.05729v1

Cancer Vaccine Adjuvant Name Recognition from Biomedical Literature using Large Language Models

Motivation: An adjuvant is a chemical incorporated into vaccines that enhances their efficacy by i...

Feb 2025 http://arxiv.org/abs/2502.09659v1

A Fair and Optimal Approach to Sequential Healthcare Rationing

The COVID-19 pandemic underscored the urgent need for fair and effective allocation of scarce reso...

Feb 2025 http://arxiv.org/abs/2502.06082v2

Social inequality and cultural factors impact the awareness and reaction during the cryptic transmission period of pandemic

The World Health Organization (WHO) declared the COVID-19 outbreak a Public Health Emergency of In...

Feb 2025 http://arxiv.org/abs/2502.05622v2

Synthetic Datasets for Machine Learning on Spatio-Temporal Graphs using PDEs

Many physical processes can be expressed through partial differential equations (PDEs). Real-world...

Feb 2025 http://arxiv.org/abs/2502.04140v1

Mining Unstructured Medical Texts With Conformal Active Learning

The extraction of relevant data from Electronic Health Records (EHRs) is crucial to identifying sy...

Feb 2025 http://arxiv.org/abs/2502.04372v1

A Novel Zero-Touch, Zero-Trust, AI/ML Enablement Framework for IoT Network Security

The IoT facilitates a connected, intelligent, and sustainable society; therefore, it is imperative...

Feb 2025 http://arxiv.org/abs/2502.03614v1

Invited commentary: deep learning-methods to amplify epidemiologic data collection and analyses.

Deep learning is a subfield of artificial intelligence and machine learning, based mostly on neural ...

Feb 2025 39013794

Hepatitis C Virus Saint Petersburg Variant Detection With Machine Learning Methods.

Hepatitis C virus infection is a significant global health concern, affecting millions worldwide. Al...

Feb 2025 39957585

Global Epidemiology of Outbreaks of Unknown Cause Identified by Open-Source Intelligence, 2020-2022.

Epidemic surveillance using traditional approaches is dependent on case ascertainment and is delayed...

Feb 2025 39983687

Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data

For rapidly spreading diseases where many cases show no symptoms, swift and effective contact trac...

Jan 2025 http://arxiv.org/abs/2501.18531v1

An Explainable Disease Surveillance System for Early Prediction of Multiple Chronic Diseases

This study addresses a critical gap in the healthcare system by developing a clinically meaningful...

Jan 2025 http://arxiv.org/abs/2501.15969v1

Graph-Based Cross-Domain Knowledge Distillation for Cross-Dataset Text-to-Image Person Retrieval

Video surveillance systems are crucial components for ensuring public safety and management in sma...

Jan 2025 http://arxiv.org/abs/2501.15052v1

Reducing Size Bias in Sampling for Infectious Disease Spread on Networks

Epidemiological models can aid policymakers in reducing disease spread by predicting outcomes base...

Jan 2025 http://arxiv.org/abs/2501.13195v2

Modality Unified Attack for Omni-Modality Person Re-Identification

Deep learning based person re-identification (re-id) models have been widely employed in surveilla...

Jan 2025 http://arxiv.org/abs/2501.12761v2

DEFEND: A Large-scale 1M Dataset and Foundation Model for Tobacco Addiction Prevention

While tobacco advertising innovates at unprecedented speed, traditional surveillance methods remai...

Jan 2025 http://arxiv.org/abs/2501.13950v1

Prediction of Lung Metastasis from Hepatocellular Carcinoma using the SEER Database

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality, with lung metastase...

Jan 2025 http://arxiv.org/abs/2501.11720v1

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction

Longitudinal MRI analysis is crucial for predicting disease outcomes, particularly in chronic cond...

Jan 2025 http://arxiv.org/abs/2501.10733v2

Infectious Disease

Browse Categories

Discovering the influence of personal features in psychological processes using Artificial Intelligence techniques: the case of COVID19 lockdown in Spain

Cancer Vaccine Adjuvant Name Recognition from Biomedical Literature using Large Language Models

A Fair and Optimal Approach to Sequential Healthcare Rationing

Social inequality and cultural factors impact the awareness and reaction during the cryptic transmission period of pandemic

Synthetic Datasets for Machine Learning on Spatio-Temporal Graphs using PDEs

Mining Unstructured Medical Texts With Conformal Active Learning

A Novel Zero-Touch, Zero-Trust, AI/ML Enablement Framework for IoT Network Security

Invited commentary: deep learning-methods to amplify epidemiologic data collection and analyses.

Hepatitis C Virus Saint Petersburg Variant Detection With Machine Learning Methods.

Global Epidemiology of Outbreaks of Unknown Cause Identified by Open-Source Intelligence, 2020-2022.

Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data

An Explainable Disease Surveillance System for Early Prediction of Multiple Chronic Diseases

Graph-Based Cross-Domain Knowledge Distillation for Cross-Dataset Text-to-Image Person Retrieval

Reducing Size Bias in Sampling for Infectious Disease Spread on Networks

Modality Unified Attack for Omni-Modality Person Re-Identification

DEFEND: A Large-scale 1M Dataset and Foundation Model for Tobacco Addiction Prevention

Prediction of Lung Metastasis from Hepatocellular Carcinoma using the SEER Database

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction

Multi-View Transformers for Airway-To-Lung Ratio Inference on Cardiac CT Scans: The C4R Study

VirusImmu: a novel ensemble machine learning approach for viral immunogenicity prediction.

A causal machine-learning framework for studying policy impact on air pollution: a case study in COVID-19 lockdowns.

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