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The electronic storage of medical patient data is becoming a daily
experience in most of the practices and hospitals worldwide.
However, much of the available data is in free text form, a
convenient way of expressing concepts and events but especially
challenging if one wants to perform automatic searches,
summarization or statistical analyses. Information Extraction can
relieve some of these problems by offering a semantically informed
interpretation and abstraction of the texts. MedInX, the Medical
Information eXtraction system presented in this book is designed to
process textual clinical discharge records in order to perform
automatic and accurate mapping of free text reports onto a
structured representation. MedInX components are based on Natural
Language Processing principles, and provide several mechanisms to
read, process and utilize external resources, such as terminologies
and ontologies. MedInX current practical applications include
automatic code assignment and an audit system capable of
systematically analyze the content and completeness of the clinical
reports.
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