ARABIC ONTOLOGY-BASED APPROACH FOR CHEST DISEASES DIAGNOSIS

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F18%3A00325023" target="_blank" >RIV/68407700:21340/18:00325023 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.jatit.org/volumes/Vol96No21/8Vol96No21.pdf" target="_blank" >http://www.jatit.org/volumes/Vol96No21/8Vol96No21.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

ARABIC ONTOLOGY-BASED APPROACH FOR CHEST DISEASES DIAGNOSIS

Popis výsledku v původním jazyce

Chest diseases are a subgroup of respiratory system diseases. The symptoms of these diseases are similar and this makes the diagnosis process difficult. Therefore, to ease the diagnosis process we gathered Information about fourteen diseases, which attack the chest, with their symptoms and investigations about them. In this paper, we present an Arabic ontology-based approach for chest diseases diagnosis. We focus on ontology building process. This ontology can be used to help physicians and other users, determine the chest disease that a patient is suffering from and what are the investigations that should be applied. While experts can easily gather information from this data, lay users lack the expertise needed to deal with it. Most of the efforts to solve this problem focus on the English language. So also, in this paper, we present a new approach based on natural language processing to translate Arabic language query to SPARQL query

Název v anglickém jazyce

ARABIC ONTOLOGY-BASED APPROACH FOR CHEST DISEASES DIAGNOSIS

Popis výsledku anglicky

Chest diseases are a subgroup of respiratory system diseases. The symptoms of these diseases are similar and this makes the diagnosis process difficult. Therefore, to ease the diagnosis process we gathered Information about fourteen diseases, which attack the chest, with their symptoms and investigations about them. In this paper, we present an Arabic ontology-based approach for chest diseases diagnosis. We focus on ontology building process. This ontology can be used to help physicians and other users, determine the chest disease that a patient is suffering from and what are the investigations that should be applied. While experts can easily gather information from this data, lay users lack the expertise needed to deal with it. Most of the efforts to solve this problem focus on the English language. So also, in this paper, we present a new approach based on natural language processing to translate Arabic language query to SPARQL query

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Theoretical and Applied Information Technology

ISSN

1992-8645

e-ISSN

1992-8645

Svazek periodika

96

Číslo periodika v rámci svazku

21

Stát vydavatele periodika

PK - Pákistánská islámská republika

Počet stran výsledku

11

Strana od-do

7077-7087

Kód UT WoS článku

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EID výsledku v databázi Scopus

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