A Belief Rule Based Expert System to Assess Hypertension under Uncertainty
Document identifier: oai:DiVA.org:ltu-77018
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10.22667/JISIS.2019.11.30.018Keyword: Natural Sciences,
Computer and Information Sciences,
Computer Sciences,
Naturvetenskap,
Data- och informationsvetenskap,
Datavetenskap (datalogi),
Media and Communication Technology,
Medieteknik,
Expert System,
Belief Rule Base,
Hypertension,
Uncertainty,
Knowledge Base,
Pervasive Mobile Computing,
Distribuerade datorsystemPublication year: 2019Relevant Sustainable Development Goals (SDGs):
The SDG label(s) above have been assigned by OSDG.aiAbstract: Hypertension (HPT) plays an important role, especially for stroke and heart diseases. Therefore, theaccurate assessment of hypertension is becoming a challenge. However, the presence of uncertainties, associated with the signs and symptoms of HPT are becoming crucial to conduct the preciseassessment. This article presents a web-based expert system (web BRBES) by employing beliefrule based (BRB) methodology to assess HPT, allowing the generation of reliable results. In order tocheck the reliability of the system, a comparison has been performed among various approaches suchas decision tree, random forest, artificial neural networks, fuzzy rule based expert system and experts’opinion. Different performance metrics such as confusion matrix, accuracy, root mean square error,area under curve have been used to contrast the reliability of the approaches. The BRBES producesa more reliable result than from the other approaches. Moreover, the user friendliness of the webBRBES found high as obtained by using the PACT (People, Activities, Contexts, Technologies) approach over 200 people.
Authors
Mohammad Shahadat Hossain
University of Chittagong, Bangladesh
Other publications
>>
Fatema Tuj-Johora
University of Chittagong, Bangladesh
Other publications
>>
Karl Andersson
Luleå tekniska universitet; Datavetenskap
Other publications
>>
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header:
identifier: oai:DiVA.org:ltu-77018
datestamp: 2021-04-19T12:42:08Z
setSpec: SwePub-ltu
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recordCreationDate: 2019-12-01
identifier:
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10.22667/JISIS.2019.11.30.018
2-s2.0-85077049550
titleInfo:
@attributes:
lang: eng
title: A Belief Rule Based Expert System to Assess Hypertension under Uncertainty
abstract: Hypertension (HPT) plays an important role especially for stroke and heart diseases. Therefore theaccurate assessment of hypertension is becoming a challenge. However the presence of uncertainties associated with the signs and symptoms of HPT are becoming crucial to conduct the preciseassessment. This article presents a web-based expert system (web BRBES) by employing beliefrule based (BRB) methodology to assess HPT allowing the generation of reliable results. In order tocheck the reliability of the system a comparison has been performed among various approaches suchas decision tree random forest artificial neural networks fuzzy rule based expert system and experts’opinion. Different performance metrics such as confusion matrix accuracy root mean square errorarea under curve have been used to contrast the reliability of the approaches. The BRBES producesa more reliable result than from the other approaches. Moreover the user friendliness of the webBRBES found high as obtained by using the PACT (People Activities Contexts Technologies) approach over 200 people.
subject:
@attributes:
lang: eng
authority: uka.se
topic:
Natural Sciences
Computer and Information Sciences
Computer Sciences
@attributes:
lang: swe
authority: uka.se
topic:
Naturvetenskap
Data- och informationsvetenskap
Datavetenskap (datalogi)
@attributes:
lang: eng
authority: uka.se
topic:
Natural Sciences
Computer and Information Sciences
Media and Communication Technology
@attributes:
lang: swe
authority: uka.se
topic:
Naturvetenskap
Data- och informationsvetenskap
Medieteknik
@attributes:
lang: eng
topic: Expert System
@attributes:
lang: eng
topic: Belief Rule Base
@attributes:
lang: eng
topic: Hypertension
@attributes:
lang: eng
topic: Uncertainty
@attributes:
lang: eng
topic: Knowledge Base
@attributes:
lang: eng
authority: ltu
topic: Pervasive Mobile Computing
genre: Research subject
@attributes:
lang: swe
authority: ltu
topic: Distribuerade datorsystem
genre: Research subject
language:
languageTerm: eng
genre:
publication/journal-article
ref
note:
Published
3
Validerad;2019;Nivå 1;2019-12-02 (johcin)
name:
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type: personal
namePart:
Hossain
Mohammad Shahadat
1968-
role:
roleTerm: aut
affiliation: University of Chittagong Bangladesh
nameIdentifier: 0000-0002-7473-8185
@attributes:
type: personal
namePart:
Tuj-Johora
Fatema
role:
roleTerm: aut
affiliation: University of Chittagong Bangladesh
@attributes:
type: personal
authority: ltu
namePart:
Andersson
Karl
1970-
role:
roleTerm: aut
affiliation:
Luleå tekniska universitet
Datavetenskap
nameIdentifier:
karand
0000-0003-0244-3561
originInfo:
dateIssued: 2019
publisher: Innovative Information Science & Technology Research Group (ISYOU)
place:
placeTerm: Seoul Republic of Korea
relatedItem:
@attributes:
type: host
titleInfo:
title: Journal of Internet Services and Information Security (JISIS)
identifier:
2182-2069
2182-2077
part:
detail:
@attributes:
type: volume
number: 9
@attributes:
type: issue
number: 4
@attributes:
type: artNo
number: 2
extent:
start: 18
end: 38
location:
url: http://ltu.diva-portal.org/smash/get/diva2:1374462/FULLTEXT01.pdf
accessCondition: gratis
physicalDescription:
form: electronic
typeOfResource: text