Medical language processing applied to extract clinical information from Dutch medical documents.

In this paper, we want to show how an existing morpho-syntactic analyser for Dutch (Dutch Medical Language Processor--DMLP) has been extended in order to produce output that is compatible with the language independent modules of the LSP-MLP system (Linguistic String Project--Medical Language Processor) of the New York University. The former can focus on idiosyncrasies for Dutch and take advantage of the language independent developments of the latter. This general strategy will be illustrated by a practical application, namely the extraction of clinical information from Dutch patient discharge summaries.

From syntactic-semantic tagging to knowledge discovery in medical texts.

In the GALEN project, the syntactic-semantic tagger MultiTALE is upgraded to extract knowledge from natural language surgical procedure expressions. In this paper, we describe the methodology applied and show that out of a randomly selected sample of such expressions coming from the procedure axis of Snomed International, 81% could be analysed correctly. The problems encountered fall in three different categories: unusual grammatical configurations within the Snomed terms, insufficient domain knowledge and different categorisation of concepts and semantic links in the domain and linguistic models used.

A Dutch medical language processor: part II: evaluation.

This paper provides a preliminary evaluation of a general Dutch medical language processor (DMLP). Four examples of different potential applications (based on different linguistic modules) are presented, each with its own evaluation method. Finally, a critical review of the used evaluation methods is offered according to the state of the art in medical language processing.

From natural language to formal language: when MultiTALE meets GALEN.

In the GALEN project, the syntactic-semantic tagger MultiTALE is upgraded to extract knowledge from natural language surgical procedure expressions. In this paper, we describe the methodology applied and show that out of a randomly selected sample of such expressions, 81% could be analysed correctly. The problems encountered are summarised and areas of further investigation identified.

Natural language processing in medicine: an overview.

An overview is given of natural language processing applications in medicine. An attempt has been made to enumerate the most important and known international projects and to summarize their goals, principles, methods and results. A section is devoted to projects involving the Dutch language.