Currently, medical institutes generally use EMR to record patient's condition, including
diagnostic information, procedures performed, and treatment results. EMR has been …

Abstract Background The Sixth Informatics for Integrating Biology and the Bedside (i2b2)
Natural Language Processing Challenge for Clinical Records focused on the temporal …

Objectives A substantial portion of the data contained in Electronic Health Records (EHR) is
unstructured, often appearing as free text. This format restricts its potential utility in clinical …

Background: Natural Language Processing (NLP) methods are increasingly being utilized to
mine knowledge from unstructured health-related texts. Recent advances in noisy text …

Abstract Background Electronic health records (EHRs) are increasingly used for clinical and
translational research through the creation of phenotype algorithms. Currently, phenotype …

Problem: Clinical practice requires the production of a time-and resource-consuming great
amount of notes. They contain relevant information, but their secondary use is almost …

There has been a steady need in the medical community to precisely extract the temporal
relations between clinical events. In particular, temporal information can facilitate a variety of …

In this paper, we present the C hinese Me dical I nformation E xtraction (CMeIE) dataset,
consisting of 28, 008 sentences, 85, 282 triplets, 11 entities, and 44 relations derived from …

Background Temporal relations between clinical events play an important role in clinical
assessment and decision making. Extracting such relations from free text data is a …

Objective To survey network analyses of datasets collected in the course of routine
operations in health care settings and identify driving questions, methods, needs, and …