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Literature DB >> 17238777

Handling implicit and uncertain temporal information in medical text.

Li Zhou¹, Simon Parsons, George Hripcsak.

Abstract

We propose a method and a prototype system for discovering implicit temporal assertions in medical text and dealing with issues including temporal information resolution, temporal granularity, vagueness and uncertainty, by applying discourse analysis as well as semantic and syntactic analysis, and by generating heuristic rules which encode the discovered domain and linguistic knowledge.

Mesh：

Year: 2006 PMID： 17238777 PMCID： PMC1839470

Source DB: PubMed Journal: AMIA Annu Symp Proc ISSN： 1559-4076

2 in total

1. Modeling electronic discharge summaries as a simple temporal constraint satisfaction problem.

Authors: George Hripcsak; Li Zhou; Simon Parsons; Amar K Das; Stephen B Johnson
Journal: J Am Med Inform Assoc Date: 2004-10-18 Impact factor: 4.497

2. System architecture for temporal information extraction, representation and reasoning in clinical narrative reports.

Authors: Li Zhou; Carol Friedman; Simon Parsons; George Hripcsak
Journal: AMIA Annu Symp Proc Date: 2005

2 in total

3 in total

Handling implicit and uncertain temporal information in medical text.

1. Modeling electronic discharge summaries as a simple temporal constraint satisfaction problem.

2. System architecture for temporal information extraction, representation and reasoning in clinical narrative reports.

1. The evaluation of a temporal reasoning system in processing clinical discharge summaries.

2. Fuzzy temporal constraint networks for clinical information.

3. Identifying direct temporal relations between time and events from clinical notes.