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-ep.652021-06-22T03:45:37Z An enhanced concept based approach medical information retrieval to address readability, vocabulary and presentation issues 2019-10 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 http://eprints.uthm.edu.my/65/ http://eprints.uthm.edu.my/65/1/24p%20IBRAHIM%20UMAR%20KONTAGORA.pdf text en public http://eprints.uthm.edu.my/65/2/IBRAHIM%20UMAR%20KONTAGORA%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/65/3/IBRAHIM%20UMAR%20KONTAGORA%20WATERMARK.pdf text en validuser phd doctoral Universiti Tun Hussein Onn Malaysia Fakulti Sains Komputer dan Teknologi Maklumat
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
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
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
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
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Fakulti Sains Komputer dan Teknologi Maklumat
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
_version_	1747830520660623360

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

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