Automatic Categorization of Medical Documents

The main objective of this thesis is to propose a categorizing model for medical documents,called HiMeD Model. The HiMeD Model is based on the principle that we denominatedhierarchical correlation of specialized terms, in which a medical concept, to be used in anautomatic categorization process, can...

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Autor principal:	Soares de Lima, Luciano Romero
Formato:	Articulo Contribucion a revista
Lenguaje:	Inglés
Publicado:	2000
Materias:	Ciencias Informáticas Approximate String Matching Assignment Graph Automatic Categorization Automatic Coding Controlled Vocabulary Hierarchical Model for Categorization of Medical Documents Hierarchical Terms Information Retrieval MedCode HiMeD Model Medical Document Databases Medical Informatics Vector Space Model
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/135478 https://publicaciones.sadio.org.ar/index.php/EJS/article/view/126
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

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institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas Approximate String Matching Assignment Graph Automatic Categorization Automatic Coding Controlled Vocabulary Hierarchical Model for Categorization of Medical Documents Hierarchical Terms Information Retrieval MedCode HiMeD Model Medical Document Databases Medical Informatics Vector Space Model
spellingShingle	Ciencias Informáticas Approximate String Matching Assignment Graph Automatic Categorization Automatic Coding Controlled Vocabulary Hierarchical Model for Categorization of Medical Documents Hierarchical Terms Information Retrieval MedCode HiMeD Model Medical Document Databases Medical Informatics Vector Space Model Soares de Lima, Luciano Romero Automatic Categorization of Medical Documents
topic_facet	Ciencias Informáticas Approximate String Matching Assignment Graph Automatic Categorization Automatic Coding Controlled Vocabulary Hierarchical Model for Categorization of Medical Documents Hierarchical Terms Information Retrieval MedCode HiMeD Model Medical Document Databases Medical Informatics Vector Space Model
description	The main objective of this thesis is to propose a categorizing model for medical documents,called HiMeD Model. The HiMeD Model is based on the principle that we denominatedhierarchical correlation of specialized terms, in which a medical concept, to be used in anautomatic categorization process, can always be represented by terms, where these termsare linked up in a hierarchical path. This hierarchical linking can contain components thatallow the determination of these categories ordered by the degree of relevance of theadopted concept. The use of this principle allows us to isolate the categorization tasks fromthe unnecessary influence of terms not belonging to the medical vocabulary of referenceand of the straight calculation of the term-weight in the information retrieval process usedby the classic models. The concepts developed here were used in several experiments thatdemonstrated the quality of the proposed model. These experiments are another importantcontribution of this work. Finally, a tool for automatic coding of medical documents wasimplemented based on the components of our model, thus demonstrating its technologicalcapacity in building automatic categorization tools. This tool, called MedCode, was used inexperiments carried out with the help of medical coding specialists, and its use improvedthe precision of the automatic coding of medical documents. This improvement is largelydue to the interactive and visual characteristics of the prototype, which allowed thespecialists to modify the coding environment, to select the type of processing algorithm,and to modify other document processing options.
format	Articulo Contribucion a revista
author	Soares de Lima, Luciano Romero
author_facet	Soares de Lima, Luciano Romero
author_sort	Soares de Lima, Luciano Romero
title	Automatic Categorization of Medical Documents
title_short	Automatic Categorization of Medical Documents
title_full	Automatic Categorization of Medical Documents
title_fullStr	Automatic Categorization of Medical Documents
title_full_unstemmed	Automatic Categorization of Medical Documents
title_sort	automatic categorization of medical documents
publishDate	2000
url	http://sedici.unlp.edu.ar/handle/10915/135478 https://publicaciones.sadio.org.ar/index.php/EJS/article/view/126
work_keys_str_mv	AT soaresdelimalucianoromero automaticcategorizationofmedicaldocuments
bdutipo_str	Repositorios
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Automatic Categorization of Medical Documents

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