Latest AI and machine learning research in information technology for healthcare professionals.
OBJECTIVE: Natural language processing (NLP) of symptoms from electronic health records (EHRs) could...
The promotion of cloud computing makes the virtual machine (VM) increasingly a target of malware att...
OBJECTIVE: The aim of this study was to generate synthetic electronic health records (EHRs). The gen...
Mappings between ontologies enable reuse and interoperability of biomedical knowledge. The Radiology...
The Human Phenotype Ontology (HPO)-a standardized vocabulary of phenotypic abnormalities associated ...
UNLABELLED: Accurate and efficient identification of complex chronic conditions in the electronic he...
INTRODUCTION: This work describes the Medication and Adverse Drug Events from Electronic Health Reco...
INTRODUCTION: Adverse drug event (ADE) detection is a vital step towards effective pharmacovigilance...
EHR-based, computable phenotypes can be leveraged by healthcare organizations and researchers to imp...
Information Quality (IQ) is a core tenant of contemporary data management practices. Across many dis...
Electronic phenotyping is the task of ascertaining whether an individual has a medical condition of ...
MOTIVATION: Data integration promises to be one of the main catalysts in enabling new insights to be...
Sickle cell disease (SCD) is one of the most common monogenic diseases in humans with multiple pheno...
Since 2012, we have been developing a remote-controlled robotic system (Zerobot®) for needle inserti...
Digital health constitutes a merger of both software and hardware technology with health care delive...
Development and maintenance of order sets is a knowledge-intensive task for off-the-shelf machine-le...
OBJECTIVE: To conduct a systematic review of deep learning models for electronic health record (EHR)...
OBJECTIVE: Standards such as the Logical Observation Identifiers Names and Codes (LOINC®) are critic...
BACKGROUND: We present the case of a 6-y-old boy who was diagnosed with sensory processing disorder ...
Sepsis is a life-threatening condition caused by infection and subsequent overreaction by the immune...
Electronic medical claims (EMC) database has been successfully used for predicting occurrences of st...