Information Technology

Blockchain framework with IoT device using federated learning for sustainable healthcare systems.

The Internet of Medical Things (IoMT) sector has advanced rapidly in recent years, and security and ...

Sequencing validates deep learning models for EHR-based detection of Noonan syndrome in pediatric patients.

Despite advanced diagnostic tools, early detection of rare genetic conditions like Noonan syndrome (...

Pediatrics 4.0: the Transformative Impacts of the Latest Industrial Revolution on Pediatrics.

Industry 4.0 represents the latest phase of industrial evolution, characterized by the seamless inte...

[Digital health: a green future for healthcare?].

The healthcare sector is doubly affected by the climate crisis. On the one hand, the number of disea...

Enhancing IoT cybersecurity through lean-based hybrid feature selection and ensemble learning: A visual analytics approach to intrusion detection.

The dynamical growth of cyber threats in IoT setting requires smart and scalable intrusion detection...

SepsisCalc: Integrating Clinical Calculators into Early Sepsis Prediction via Dynamic Temporal Graph Construction.

Sepsis is an organ dysfunction caused by a deregulated immune response to an infection. Early sepsis...

Comparison of Expert Vocabulary Usage Patterns between Mental Health and Non-Mental Health Clinicians When Diagnosing Pediatric Anxiety Disorders.

OBJECTIVE: To compare the utilization patterns of expert vocabulary (EVo) in diagnosing pediatric an...

Semantic web-based ontology: a comprehensive framework for cardiovascular knowledge representation.

In the healthcare industry, the Semantic Web offers to manage a huge amount of medical data which is...

Enhanced SVM-based model for predicting cyberspace vulnerabilities: Analyzing the role of user group dynamics and capital influx.

Amid substantial capital influx and the rapid evolution of online user groups, the increasing comple...

Application of artificial intelligence to electronic health record data in long-term care facilities: a scoping review protocol.

INTRODUCTION: Although artificial intelligence (AI) has been widely applied to electronic health rec...

Comparative effectiveness of anti-seizure medications in emulated trials using medical informatics.

Anti-seizure medications (ASMs) are often prescribed using a trial-and-error approach with a similar...

Cybersecurity Should be a Routine Component of Healthcare Provider Education.

EDRMM: enhancing drug recommendation via multi-granularity and multi-attribute representation.

BACKGROUND: Drug recommendation is a crucial application of artificial intelligence in medical pract...

A bird species occurrence dataset from passive audio recordings across dense urban areas in Gothenburg, Sweden.

Bird species occurrence datasets are a valuable resource for understanding the effects of urbanizati...

Temperature and relative humidity prediction in South China greenhouse based on machine learning.

Prediction of the greenhouse temperature and relative humidity is very important, which can forecast...

Leveraging explainable artificial intelligence for early detection and mitigation of cyber threat in large-scale network environments.

Cybersecurity has often gained much popularity over the years in a fast-evolving discipline, as the ...

Unsupervised learning using EHR and census data to identify distinct subphenotypes of newly diagnosed hypertension patients.

BACKGROUND: Hypertension (HTN) is a complex condition with significant heterogeneity in presentation...

Comprehensive protein datasets and benchmarking for liquid-liquid phase separation studies.

BACKGROUND: Proteins self-organize in dynamic cellular environments by assembling into reversible bi...

Lossy DICOM conversion may affect AI performance.

Many pathologies have started to digitize their glass slides. To ensure long term accessibility, it ...

Trends and Innovations in Tools for Processing Chromatographic Data Using Mass Spectrometry Detection: A Systematic Review.

Chromatographic data processing represents an increasing challenge in analytical science, particular...

A systematic literature review on integrating AI-powered smart glasses into digital health management for proactive healthcare solutions.

AI-powered smart glasses are emerging as a highly promising advancement in the field of digital heal...