Latest AI and machine learning research in information technology for healthcare professionals.
INTRODUCTION: 5th generation cellular mobile communications (5G) is one of the main requirements for...
Complaints about electronic health records, including information overload, note bloat, and alert fa...
Research that makes secondary use of administrative and clinical healthcare databases is increasingl...
OBJECTIVE: Telemedicine is an essential support system for clinical settings outside the hospital. R...
Assessing a patient's risk of an impending suicide attempt has been hampered by limited information ...
Suicidal ideation is a risk factor for self-harm, completed suicide and can be indicative of mental ...
Social and behavioral factors influence health but are infrequently recorded in electronic health re...
We explore the impact of data source on word representations for different NLP tasks in the clinical...
CONTEXT: Arden Syntax is a standard that encodes knowledge as Medical Logic Modules (MLMs) but lacks...
Patients' hospital length of stay (LOS) as a surgical outcome is important indicator of quality of c...
Assess the efficacy of deep convolutional neural networks (DCNNs) in detection of critical enteric f...
OBJECTIVE: Geriatric syndromes such as functional disability and lack of social support are often no...
OBJECTIVE: We aimed to address deficiencies in structured electronic health record (EHR) data for ra...
PURPOSE: We have created a cloud-based machine learning system (CLOBNET) that is an open-source, lea...
OBJECTIVE: We aim to evaluate the effectiveness of advanced deep learning models (eg, capsule networ...
In recent years, machine learning approaches have been successfully applied to analysis of patient s...
Applying machine learning (ML) methods on electronic health records (EHRs) that accurately predict t...
This paper introduces a sparse embedding for electronic health record (EHR) data in order to predict...
One of the most widely acknowledged standards in health informatics is HL7 (Health Level 7 Internati...
Objectives Medical knowledge extraction (MKE) plays a key role in natural language processing (NLP) ...
An ontology offers a human-readable and machine-computable representation of the concepts in a domai...