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Information Technology

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

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Integrated semantics service platform for the Internet of Things: a case study of a smart office.

The Internet of Things (IoT) allows machines and devices in the world to connect with each other and...

Robotic telepresence versus standardly supervised stroke alert team assessments.

BACKGROUND: Telemedicine has created access to emergency stroke care for patients in all communities...

Stable feature selection for clinical prediction: exploiting ICD tree structure using Tree-Lasso.

Modern healthcare is getting reshaped by growing Electronic Medical Records (EMR). Recently, these r...

Comparison of a semi-automatic annotation tool and a natural language processing application for the generation of clinical statement entries.

BACKGROUND AND OBJECTIVE: Electronic medical records with encoded entries should enhance the semanti...

Support Vector Feature Selection for Early Detection of Anastomosis Leakage From Bag-of-Words in Electronic Health Records.

The free text in electronic health records (EHRs) conveys a huge amount of clinical information abou...

Prioritising lexical patterns to increase axiomatisation in biomedical ontologies. The role of localisation and modularity.

INTRODUCTION: This article is part of the Focus Theme of METHODS of Information in Medicine on "Mana...

An eligibility criteria query language for heterogeneous data warehouses.

INTRODUCTION: This article is part of the Focus Theme of METHODS of Information in Medicine on "Mana...

Toward a view-oriented approach for aligning RDF-based biomedical repositories.

INTRODUCTION: This article is part of the Focus Theme of METHODS of Information in Medicine on "Mana...

Integrating Knowledge: The Power of Ontologies in Psychiatric Research and Clinical Informatics.

Ontologies are structured frameworks for representing knowledge by systematically defining concepts,...

Preliminary Results from Using Gen-AI to Personalized Medication Leaflets.

The product information of a medicinal product includes the summary of product characteristics (SmPC...

A Computational Framework for Tailored Preventive Care Recommendations Using Electronic Health Records.

Most healthcare systems worldwide are designed to be reactive. According to the U.S. Centers for Dis...

AI-Assisted Detection Support for Middle Ear Diseases Using Multimodal Large Language Models.

Middle ear diseases, such as otitis media and middle ear effusion, are difficult to accurately detec...

Evaluation of Federated Learning Using Standardized EHR Data in Japan.

This study addresses privacy concerns in multi-institutional data sharing by applying federated lear...

Constrained Tensor Factorization for Cancer Phenotyping and Mortality Prediction.

Electronic health records (EHR) enable machine learning methods like tensor factorization to extract...

Predicting Nephrectomy Risk in Patients with Renal Cancer Using Real-World Electronic Health Records.

Nephrectomy, the surgical removal of a kidney, is a critical treatment for renal cancer, and predict...

Automate Creating, Customizing, and Optimizing Comorbidity Indices Using a Data-Driven AI/ML Approach.

Due to individual differences in severity of illness, clinical studies typically use a comorbidity i...

Optimizing Entity Recognition in Psychiatric Treatment Data with Large Language Models.

Extracting nuanced adverse drug reactions (ADRs) from patient self-reported messages using is pivota...

A Neural Embedding Approach to Mapping Health Concepts to Concept Unique Identifiers.

Understanding health concepts in free text is an important task in biomedical NLP. Being able to map...

Multimodal Fusion of EHR in Structures and Semantics: Integrating Clinical Records and Notes with Hypergraph and LLM.

In recent decades, Electronic Health Records (EHRs) have become increasingly useful to support clini...

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