MIDAS: An Information-Extraction Approach to Medical Text Classification
نویسندگان
چکیده
This article describes MIDAS, an advanced expert system that is able to suggest medical diagnosis from the radiological/clinical patient records, based on information extraction and machine learning from clinical histories of previously diagnosed patients. MIDAS was designed to participate in the 2007 Medical Natural Language Processing Challenge. Specifically, it automates the assignment of ICD-9-CM codes to radiology reports, achieving good precision rates.
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ورودعنوان ژورنال:
- Procesamiento del Lenguaje Natural
دوره 41 شماره
صفحات -
تاریخ انتشار 2008