Evaluating temporal relations in clinical text: 2012 i2b2 challenge
Abstract Background The Sixth Informatics for Integrating Biology and the Bedside (i2b2)
Natural Language Processing Challenge for Clinical Records focused on the temporal …
Natural Language Processing Challenge for Clinical Records focused on the temporal …
In search of big medical data integration solutions-a comprehensive survey
In recent years, the radical advancement of technologies has given rise to an abundance of
software applications, social media, and smart devices such as smartphone, sensors, and so …
software applications, social media, and smart devices such as smartphone, sensors, and so …
OAE: the ontology of adverse events
Background A medical intervention is a medical procedure or application intended to relieve
or prevent illness or injury. Examples of medical interventions include vaccination and drug …
or prevent illness or injury. Examples of medical interventions include vaccination and drug …
An ontology-guided semantic data integration framework to support integrative data analysis of cancer survival
Background Cancer is the second leading cause of death in the United States, exceeded
only by heart disease. Extant cancer survival analyses have primarily focused on individual …
only by heart disease. Extant cancer survival analyses have primarily focused on individual …
Time event ontology (TEO): to support semantic representation and reasoning of complex temporal relations of clinical events
Objective The goal of this study is to develop a robust Time Event Ontology (TEO), which can
formally represent and reason both structured and unstructured temporal information …
formally represent and reason both structured and unstructured temporal information …
Temporal reasoning over clinical text: the state of the art
Objectives To provide an overview of the problem of temporal reasoning over clinical text
and to summarize the state of the art in clinical natural language processing for this task …
and to summarize the state of the art in clinical natural language processing for this task …
[HTML][HTML] Attention-based bidirectional long short-term memory networks for extracting temporal relationships from clinical discharge summaries
Temporal relation extraction between health-related events is a widely studied task in
clinical Natural Language Processing (NLP). The current state-of-the-art methods mostly rely …
clinical Natural Language Processing (NLP). The current state-of-the-art methods mostly rely …
Comprehensive temporal information detection from clinical text: medical events, time, and TLINK identification
Background Temporal information detection systems have been developed by the Mayo
Clinic for the 2012 i2b2 Natural Language Processing Challenge. Objective To construct …
Clinic for the 2012 i2b2 Natural Language Processing Challenge. Objective To construct …
[PDF][PDF] Ontologies of Time: Review and Trends.
Time, as a phenomenon, has been in the focus of scientific thought from ancient times. It
continues to be an important subject of research in many disciplines due to its importance as …
continues to be an important subject of research in many disciplines due to its importance as …
A semantic-web oriented representation of the clinical element model for secondary use of electronic health records data
The clinical element model (CEM) is an information model designed for representing clinical
information in electronic health records (EHR) systems across organizations. The current …
information in electronic health records (EHR) systems across organizations. The current …