Latest AI and machine learning research in information technology for healthcare professionals.
Leveraging large historical data in electronic health record (EHR), we developed Doctor AI, a generi...
Medical research is experiencing a paradigm shift from "one-size-fits-all" strategy to a precision m...
OBJECTIVE: To use natural language processing (NLP) in conjunction with the electronic medical recor...
Pre-eclampsia (PE) is a clinical syndrome characterized by new-onset hypertension and proteinuria at...
Purpose To demonstrate the feasibility of contrast material-enhanced ulrasonographic (US) nephrostog...
The ability to predict psychiatric readmission would facilitate the development of interventions to ...
The Q-UEL language of XML-like tags and the associated software applications are providing a valuabl...
Patient interactions with health care providers result in entries to electronic health records (EHRs...
OBJECTIVE: To discover diverse genotype-phenotype associations affiliated with Type 2 Diabetes Melli...
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...