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Information Technology

Latest AI and machine learning research in information technology for healthcare professionals.

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Knowledge Guided Feature Aggregation for the Prediction of Chronic Obstructive Pulmonary Disease With Chinese EMRs.

The automatic disease diagnosis utilizing clinical data has been suffering from the issues of featur...

Use of Electronic Medical Records (EMR) in Gerontology: Benefits, Considerations and a Promising Future.

Electronic medical records (EMRs) have many benefits in clinical research in gerontology, enabling d...

Importance of Hospital Infection Control.

The increasing demand for healthcare-acquired infection (HAI) control practices and services has int...

The PACIFIC ontology for heterogeneous data management in cardiology.

With the emergence of health data warehouses and major initiatives to collect and analyze multi-moda...

Holistic Human-Serving Digitization of Health Care Needs Integrated Automated System-Level Assessment Tools.

Digital health tools, platforms, and artificial intelligence- or machine learning-based clinical dec...

Federated Fuzzy Clustering for Decentralized Incomplete Longitudinal Behavioral Data.

The use of medical data for machine learning, including unsupervised methods such as clustering, is ...

The Role of a Smart Health Ecosystem in Transforming the Management of Chronic Health Conditions.

The effective management of chronic conditions requires an approach that promotes a shift in care fr...

Deep learning prediction of hospital readmissions for asthma and COPD.

QUESTION: Severe asthma and COPD exacerbations requiring hospitalization are linked to increased dis...

The use of foundational ontologies in biomedical research.

BACKGROUND: The FAIR principles recommend the use of controlled vocabularies, such as ontologies, to...

Benchmarking Transformer-Based Models for Identifying Social Determinants of Health in Clinical Notes.

Electronic health records (EHR) have been widely used in building machine learning models for health...

Economic and Environmental Costs of Cloud Technologies for Medical Imaging and Radiology Artificial Intelligence.

Radiology is on the verge of a technological revolution driven by artificial intelligence (including...

Prediction Models for Glaucoma in a Multicenter Electronic Health Records Consortium: The Sight Outcomes Research Collaborative.

PURPOSE: Advances in artificial intelligence have enabled the development of predictive models for g...

Novel Preoperative Risk Stratification Using Digital Phenotyping Applying a Scalable Machine-Learning Approach.

BACKGROUND: Classification of perioperative risk is important for patient care, resource allocation,...

Assessing resolvability, parsability, and consistency of RDF resources: a use case in rare diseases.

INTRODUCTION: Healthcare data and the knowledge gleaned from it play a key role in improving the hea...

Skin Inclusion: Addressing Deficits in Medical Education to Promote Diversity in Dermatological Diagnosis and Treatment.

Dermatological conditions impact many people globally, including those with melanin-rich skin. Howev...

Digital solutions and health sciences.

Digitalization is the conversion of analog data and information to a digital format based on bits. D...

Informed consent for artificial intelligence in emergency medicine: A practical guide.

As artificial intelligence (AI) expands its presence in healthcare, particularly within emergency me...

Real-time counting of wheezing events from lung sounds using deep learning algorithms: Implications for disease prediction and early intervention.

This pioneering study aims to revolutionize self-symptom management and telemedicine-based remote mo...

A Chinese telemedicine-dialogue dataset annotated for named entities.

BACKGROUND: A large collection of dialogues between patients and doctors must be annotated for medic...

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