Objectives This review examines work on automated summarization of electronic health
record (EHR) data and in particular, individual patient record summarization. We organize …

Temporal information is crucial in electronic medical records and biomedical information
systems. Processing temporal information in medical narrative data is a very challenging …

This article discusses the requirements of a formal specification for the annotation of
temporal information in clinical narratives. We discuss the implementation and extension of …

OBJECTIVE: Intelligent clinical data analysis systems require precise qualitative
descriptions of data to enable effective and context sensitive interpretation to take place …

Cardiovascular Disease (CVD) is the single largest killer in the world. Although, several
CVD treatment guidelines have been developed to improve quality of care and reduce …

Sepsis is a condition caused by the body's overwhelming and life-threatening response to
infection, which can lead to tissue damage, organ failure, and finally death. Today, sepsis is …

The effective and efficient use of information systems in health care organizations and
services are a vital element of the quality of life world wide. The modeling of time has …

We propose a scalable structured learning model that jointly predicts temporal relations
between events and temporal expressions (TLINKS), and the relation between these events …

Objective To develop an open-source temporal relation discovery system for the clinical
domain. The system is capable of automatically inferring temporal relations between 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 …