Latest AI and machine learning research in information technology for healthcare professionals.
Biomedical literature articles and narrative content from Electronic Health Records (EHRs) both cons...
BACKGROUND: Disease and diagnosis have been the subject of much ontological inquiry. However, the in...
UNLABELLED: The lack of controlled terminology and ontology usage leads to incomplete search results...
In recent years, there is an increasing demand for sharing and integration of medical data in biomed...
INTRODUCTION: Clinical deterioration (ICU transfer and cardiac arrest) occurs during approximately 5...
OBJECTIVE: Phenotyping algorithms applied to electronic health record (EHR) data enable investigator...
This paper presents a new study based on a machine learning technique, specifically an artificial ne...
BACKGROUND: Longitudinal data sources, such as electronic health records (EHRs), are very valuable f...
OBJECTIVE: The objective of this study is to develop an algorithm to accurately identify children wi...
OBJECTIVES: This paper presents a remote triage support algorithm as a part of a complex military te...
BACKGROUND: The high costs involved in the development of Clinical Decision Support Systems (CDSS) m...
BACKGROUND: The Cell Ontology (CL) is an OBO Foundry candidate ontology covering the domain of canon...
OBJECTIVE: The combination of phenomic data from electronic health records (EHR) and clinical data r...
Electronic Health Record (EHR) use in India is generally poor, and structured clinical information i...
Secondary use of electronic health records (EHRs) promises to advance clinical research and better i...
The Ontology for Biomedical Investigations (OBI) is an ontology that provides terms with precisely d...
OBJECTIVE: Electronic medical records (EMRs) are increasingly repurposed for activities beyond clini...
BACKGROUND: Identifying partial mappings between two terminologies is of special importance when one...
Telemedicine helps to deliver health services electronically to patients with the advancement of com...
BACKGROUND: Application of novel machine learning approaches to electronic health record (EHR) data ...
BACKGROUND: The gap between a large growing number of genetic tests and a suboptimal clinical workfl...