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An enhanced concept based approach medical information retrieval to address readability, vocabulary and presentation issues

Querying of health information retrieval for health advice has now become a general and notable task performed by individuals on the Internet. However, the failure of the existing approaches to integrate program modules that would address the information needs of all categories of end-users remains....

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Main Author: Kontagora, Ibrahim Umar
Format: Thesis
Language:English
English
English
Published: 2019
Subjects:
QA76 Computer software
Online Access:http://eprints.uthm.edu.my/65/1/24p%20IBRAHIM%20UMAR%20KONTAGORA.pdf
http://eprints.uthm.edu.my/65/2/IBRAHIM%20UMAR%20KONTAGORA%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/65/3/IBRAHIM%20UMAR%20KONTAGORA%20WATERMARK.pdf
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spelling my.uthm.eprints.652021-06-22T03:45:37Z http://eprints.uthm.edu.my/65/ An enhanced concept based approach medical information retrieval to address readability, vocabulary and presentation issues Kontagora, Ibrahim Umar QA76 Computer software Querying of health information retrieval for health advice has now become a general and notable task performed by individuals on the Internet. However, the failure of the existing approaches to integrate program modules that would address the information needs of all categories of end-users remains. This study focused on proposing an improved framework and designing an enhanced concept based approach (ECBA) for medical information retrieval that would better address readability, vocabulary mismatched and presentation issues by generating medical discharge documents and medical search queries results in both medical expert and layman’s forms. Three special program modules were designed and integrated in the enhanced concept based approach namely: medical terms control module, vocabulary controlled module and readability module to specifically address the information needs of both medical experts and laymen end-users. Eight benched marked datasets namely: Medline, UMLS, MeSH, Metamap, Metathesaurus, Diagnosia 7, Khresmoi Project 6 and Genetic Home Reference were used in validating the systems performance. Additionally, the ECBA was compared using three existing approaches such as concept based approach (CBA), query likelihood model (QLM) and latent semantic indexing (LSI). The evaluation was conducted using the performance and statistical metrics: P@40, NDCG@40, MAP, Analysis of Variance (ANOVA) and Turkey HSD Tests. The outcome of the final experimental results obtained shows that, the ECBA consistently obtained above 93% accuracy rate results on Medline, UMLS and MeSH Datasets, 92% on Metamap, Metathesaurus and Diagnosia 7 datasets and 91% on Khresmoi Project 6 and Genetic Home Reference datasets. Also, the statistical analysis performance results obtained by each of the four approaches: ECBA, CBA, QLM and LSI shows that, there is a significant difference among their Mean Scores, hence, the null hypothesis of no significant difference was rejected. 2019-10 Thesis NonPeerReviewed text en http://eprints.uthm.edu.my/65/1/24p%20IBRAHIM%20UMAR%20KONTAGORA.pdf text en http://eprints.uthm.edu.my/65/2/IBRAHIM%20UMAR%20KONTAGORA%20COPYRIGHT%20DECLARATION.pdf text en http://eprints.uthm.edu.my/65/3/IBRAHIM%20UMAR%20KONTAGORA%20WATERMARK.pdf Kontagora, Ibrahim Umar (2019) An enhanced concept based approach medical information retrieval to address readability, vocabulary and presentation issues. Doctoral thesis, Universiti Tun Hussein Onn Malaysia.
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
English
English
topic QA76 Computer software
spellingShingle QA76 Computer software
Kontagora, Ibrahim Umar
An enhanced concept based approach medical information retrieval to address readability, vocabulary and presentation issues
description Querying of health information retrieval for health advice has now become a general and notable task performed by individuals on the Internet. However, the failure of the existing approaches to integrate program modules that would address the information needs of all categories of end-users remains. This study focused on proposing an improved framework and designing an enhanced concept based approach (ECBA) for medical information retrieval that would better address readability, vocabulary mismatched and presentation issues by generating medical discharge documents and medical search queries results in both medical expert and layman’s forms. Three special program modules were designed and integrated in the enhanced concept based approach namely: medical terms control module, vocabulary controlled module and readability module to specifically address the information needs of both medical experts and laymen end-users. Eight benched marked datasets namely: Medline, UMLS, MeSH, Metamap, Metathesaurus, Diagnosia 7, Khresmoi Project 6 and Genetic Home Reference were used in validating the systems performance. Additionally, the ECBA was compared using three existing approaches such as concept based approach (CBA), query likelihood model (QLM) and latent semantic indexing (LSI). The evaluation was conducted using the performance and statistical metrics: P@40, NDCG@40, MAP, Analysis of Variance (ANOVA) and Turkey HSD Tests. The outcome of the final experimental results obtained shows that, the ECBA consistently obtained above 93% accuracy rate results on Medline, UMLS and MeSH Datasets, 92% on Metamap, Metathesaurus and Diagnosia 7 datasets and 91% on Khresmoi Project 6 and Genetic Home Reference datasets. Also, the statistical analysis performance results obtained by each of the four approaches: ECBA, CBA, QLM and LSI shows that, there is a significant difference among their Mean Scores, hence, the null hypothesis of no significant difference was rejected.
format Thesis
author Kontagora, Ibrahim Umar
author_facet Kontagora, Ibrahim Umar
author_sort Kontagora, Ibrahim Umar
title An enhanced concept based approach medical information retrieval to address readability, vocabulary and presentation issues
title_short An enhanced concept based approach medical information retrieval to address readability, vocabulary and presentation issues
title_full An enhanced concept based approach medical information retrieval to address readability, vocabulary and presentation issues
title_fullStr An enhanced concept based approach medical information retrieval to address readability, vocabulary and presentation issues
title_full_unstemmed An enhanced concept based approach medical information retrieval to address readability, vocabulary and presentation issues
title_sort enhanced concept based approach medical information retrieval to address readability, vocabulary and presentation issues
publishDate 2019
url http://eprints.uthm.edu.my/65/1/24p%20IBRAHIM%20UMAR%20KONTAGORA.pdf
http://eprints.uthm.edu.my/65/2/IBRAHIM%20UMAR%20KONTAGORA%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/65/3/IBRAHIM%20UMAR%20KONTAGORA%20WATERMARK.pdf
http://eprints.uthm.edu.my/65/
_version_ 1738580689920458752
score 13.211869

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