MIDAS: An Information-Extraction Approach to Medical Text Classification
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| Formato: | Artículo científico |
| Lenguaje: | en |
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Sociedad Española para el Procesamiento del Lenguaje Natural
2008
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| _version_ | 1876430934099623936 |
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| author | Anastasia Sotelsek-Margalef |
| author_facet | Anastasia Sotelsek-Margalef |
| contents | MIDAS: An Information-Extraction Approach to Medical Text Classification Anastasia Sotelsek-Margalef Julio Villena-Román Computación ICD CM codes Expert system medi cal text natural language This article describes MIDAS, an advanced expert system that is able to suggest medical diagnosis from the radiological/clinical pa tient records, based on information extraction and machine learning from clinical histories of previously diagnosed patients. MIDAS was designed to participate in the 2007 Medi cal Natural Language Processing Challenge. Specifically, it automates the assignment of ICD-9-CM codes to radiology reports, achieving good precision rates. 2008 artículo científico 1135-5948 https://www.redalyc.org/articulo.oa?id=515751741012 en http://www.redalyc.org/revista.oa?id=5157 Procesamiento del Lenguaje Natural application/pdf Sociedad Española para el Procesamiento del Lenguaje Natural Procesamiento del Lenguaje Natural (España) Num.41 |
| format | Artículo científico |
| id | redalyc_515751741012 |
| institution | Redalyc |
| language | en |
| publishDate | 2008 |
| publisher | Sociedad Española para el Procesamiento del Lenguaje Natural |
| spellingShingle | MIDAS: An Information-Extraction Approach to Medical Text Classification Anastasia Sotelsek-Margalef Computación ICD CM codes Expert system medi cal text natural language MIDAS: An Information-Extraction Approach to Medical Text Classification Anastasia Sotelsek-Margalef Julio Villena-Román Computación ICD CM codes Expert system medi cal text natural language This article describes MIDAS, an advanced expert system that is able to suggest medical diagnosis from the radiological/clinical pa tient records, based on information extraction and machine learning from clinical histories of previously diagnosed patients. MIDAS was designed to participate in the 2007 Medi cal Natural Language Processing Challenge. Specifically, it automates the assignment of ICD-9-CM codes to radiology reports, achieving good precision rates. 2008 artículo científico 1135-5948 https://www.redalyc.org/articulo.oa?id=515751741012 en http://www.redalyc.org/revista.oa?id=5157 Procesamiento del Lenguaje Natural application/pdf Sociedad Española para el Procesamiento del Lenguaje Natural Procesamiento del Lenguaje Natural (España) Num.41 |
| title | MIDAS: An Information-Extraction Approach to Medical Text Classification |
| topic | Computación ICD CM codes Expert system medi cal text natural language |
| url | https://www.redalyc.org/articulo.oa?id=515751741012 |