Hospital-Based Medicine

Surveillance

Latest AI and machine learning research in surveillance for healthcare professionals.

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Showing 1996-2016 of 7,968 articles
Synthetic Datasets for Machine Learning on Spatio-Temporal Graphs using PDEs

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

(4)
Prevalence, incidence, and mortality of inflammatory bowel disease in the Netherlands: development and external validation of machine learning models.

BACKGROUND AND AIMS: Large registries are promising tools to study the epidemiology of inflammatory ...

Feb 2025 39945210
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
From Data to Action: Charting A Data-Driven Path to Combat Antimicrobial Resistance

Antimicrobial-resistant (AMR) microbes are a growing challenge in healthcare, rendering modern med...

A Tale of Three Location Trackers: AirTag, SmartTag, and Tile

Bluetooth Low Energy (BLE) location trackers, or "tags", are popular consumer devices for monitori...

Modality Unified Attack for Omni-Modality Person Re-Identification

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

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

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

(2)
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...

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...

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

When studying the impact of policy interventions or natural experiments on air pollution, such as ne...

Jan 2025 38960671
Large Language Model-assisted text mining reveals bacterial pathogen diversity

Compiling and characterising the diversity of bacterial pathogens of humans is a critical challenge ...

SIMPLICITY: an agent-based, multi-scale mathematical model to study SARS-CoV-2 intra- and between-host evolution

Computational tools are frequently used to describe pathogen evolutionary dynamics either within inf...

WaveSeekerNet: Accurate Prediction of Influenza A Virus Subtypes and Host Source Using Attention-Based Deep Learning

Influenza A virus (IAV) poses a significant threat to animal health globally, with its ability to ov...

Fourier transform infrared spectroscopy enables rapid species discrimination across Malassezia and strain-level typing in M. pachydermatis

Malassezia pachydermatis is a zoophilic yeast found on the skin and in the outer ear canal of many m...

Mapping Risk and Conservation Potential Across the Indo-Pacific with Reefshark Genomescapes

Overfishing has severely depleted marine populations worldwide, including within protected areas. Il...

Species-agnostic and Salmonella-specific Models for Antimicrobial Resistance Prediction Using FCGR and ResNet-18

Antimicrobial resistance (AMR) prediction from bacterial genomes remains a major challenge for clini...

Machine learning based lineage prediction from AMR phenotypes for Escherichia coli ST131 clade C surveillance across infection types

Rising antimicrobial resistance (AMR) in Escherichia coli bloodstream infections (BSIs) in high-inco...

Breaking the culture habit: metagenomic diagnosis of companion animal skin infections

Skin infections have been described as the primary cause for presentation in veterinary small animal...

A Machine Learning Approach Reveals CRISPR-Cas I-F as a Genomic Marker of Antibiotic Susceptibility in Uropathogenic E. coli

Antimicrobial resistance (AMR) in Escherichia coli is a critical global health challenge, particular...

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