A Belief Rule-Based Expert System to Assess Bronchiolitis Suspicion from Signs and Symptoms Under Uncertainty

Rezuan Karim, Mohammad Shahadat Hossain, Md. Saifuddin Khalid, Rashed Mustafa, Tanveer Ahmed Bhuiyan

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Resumé

Bronchiolitis is a common disease in children and an acute viral infection of the bronchioles that affects millions of children around the world. The assessment of the suspicion of this disease is usually carried out by looking at its signs and
symptoms. However, these signs and symptoms cannot be measured with cent percent certainty, resulting in inaccuracy in determining the occurrence of Bronchiolitis. Therefore, this paper presents the development of a Belief Rule-Based Expert System (BRBES) to assess the suspicion of Bronchiolitis by using
signs and symptoms under uncertainty. The recently developed generic belief rule-based inference methodology by using evidential reasoning (RIMER) acts as the inference engine of this BRBES while belief rule base as the knowledge representation schema. The knowledge base of the system is constructed by
using real patient data and expert opinion from Bangladesh. It has been observed that the results generated by using the BREBES are more reliable than those from the manual system.
OriginalsprogEngelsk
TitelProceedings of SAI Intelligent Systems Conference (IntelliSys) 2016
RedaktørerYaxin Bi, Supriya Kapoor, Rahul Bhatia
Antal sider12
Vol/bind1
ForlagSpringer Publishing Company
Publikationsdato2017
Sider331-343
ISBN (Trykt)978-3-319-56993-2
ISBN (Elektronisk)978-3-319-56994-9
DOI
StatusUdgivet - 2017
BegivenhedSAI Intelligent Systems Conference 2016 - ExCeL London (CentrEd Conference Center), One Western Gateway, Royal Victoria Dock, London, E16 1XL, United Kingdom, London, Storbritannien
Varighed: 21 sep. 201622 sep. 2016

Konference

KonferenceSAI Intelligent Systems Conference 2016
LokationExCeL London (CentrEd Conference Center), One Western Gateway, Royal Victoria Dock, London, E16 1XL, United Kingdom
LandStorbritannien
ByLondon
Periode21/09/201622/09/2016
NavnLecture Notes in Networks and Systems
Vol/bind15
ISSN2367-3370

Fingerprint

Expert systems
Inference engines
Knowledge representation
Uncertainty

Citer dette

Karim, R., Hossain, M. S., Khalid, M. S., Mustafa, R., & Bhuiyan, T. A. (2017). A Belief Rule-Based Expert System to Assess Bronchiolitis Suspicion from Signs and Symptoms Under Uncertainty. I Y. Bi, S. Kapoor, & R. Bhatia (red.), Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016 (Bind 1, s. 331-343). Springer Publishing Company. Lecture Notes in Networks and Systems, Bind. 15 https://doi.org/10.1007/978-3-319-56994-9_23
Karim, Rezuan ; Hossain, Mohammad Shahadat ; Khalid, Md. Saifuddin ; Mustafa, Rashed ; Bhuiyan, Tanveer Ahmed. / A Belief Rule-Based Expert System to Assess Bronchiolitis Suspicion from Signs and Symptoms Under Uncertainty. Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. red. / Yaxin Bi ; Supriya Kapoor ; Rahul Bhatia. Bind 1 Springer Publishing Company, 2017. s. 331-343 (Lecture Notes in Networks and Systems, Bind 15).
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title = "A Belief Rule-Based Expert System to Assess Bronchiolitis Suspicion from Signs and Symptoms Under Uncertainty",
abstract = "Bronchiolitis is a common disease in children and an acute viral infection of the bronchioles that affects millions of children around the world. The assessment of the suspicion of this disease is usually carried out by looking at its signs andsymptoms. However, these signs and symptoms cannot be measured with cent percent certainty, resulting in inaccuracy in determining the occurrence of Bronchiolitis. Therefore, this paper presents the development of a Belief Rule-Based Expert System (BRBES) to assess the suspicion of Bronchiolitis by usingsigns and symptoms under uncertainty. The recently developed generic belief rule-based inference methodology by using evidential reasoning (RIMER) acts as the inference engine of this BRBES while belief rule base as the knowledge representation schema. The knowledge base of the system is constructed byusing real patient data and expert opinion from Bangladesh. It has been observed that the results generated by using the BREBES are more reliable than those from the manual system.",
keywords = "Belief Rule-Base (BRB), uncertainty, RIMER, Bronchiolitis, Suspicion, signs and symptoms",
author = "Rezuan Karim and Hossain, {Mohammad Shahadat} and Khalid, {Md. Saifuddin} and Rashed Mustafa and Bhuiyan, {Tanveer Ahmed}",
year = "2017",
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Karim, R, Hossain, MS, Khalid, MS, Mustafa, R & Bhuiyan, TA 2017, A Belief Rule-Based Expert System to Assess Bronchiolitis Suspicion from Signs and Symptoms Under Uncertainty. i Y Bi, S Kapoor & R Bhatia (red), Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. bind 1, Springer Publishing Company, Lecture Notes in Networks and Systems, bind 15, s. 331-343, London, Storbritannien, 21/09/2016. https://doi.org/10.1007/978-3-319-56994-9_23

A Belief Rule-Based Expert System to Assess Bronchiolitis Suspicion from Signs and Symptoms Under Uncertainty. / Karim, Rezuan; Hossain, Mohammad Shahadat ; Khalid, Md. Saifuddin; Mustafa, Rashed; Bhuiyan, Tanveer Ahmed.

Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. red. / Yaxin Bi; Supriya Kapoor; Rahul Bhatia. Bind 1 Springer Publishing Company, 2017. s. 331-343 (Lecture Notes in Networks and Systems, Bind 15).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

TY - GEN

T1 - A Belief Rule-Based Expert System to Assess Bronchiolitis Suspicion from Signs and Symptoms Under Uncertainty

AU - Karim, Rezuan

AU - Hossain, Mohammad Shahadat

AU - Khalid, Md. Saifuddin

AU - Mustafa, Rashed

AU - Bhuiyan, Tanveer Ahmed

PY - 2017

Y1 - 2017

N2 - Bronchiolitis is a common disease in children and an acute viral infection of the bronchioles that affects millions of children around the world. The assessment of the suspicion of this disease is usually carried out by looking at its signs andsymptoms. However, these signs and symptoms cannot be measured with cent percent certainty, resulting in inaccuracy in determining the occurrence of Bronchiolitis. Therefore, this paper presents the development of a Belief Rule-Based Expert System (BRBES) to assess the suspicion of Bronchiolitis by usingsigns and symptoms under uncertainty. The recently developed generic belief rule-based inference methodology by using evidential reasoning (RIMER) acts as the inference engine of this BRBES while belief rule base as the knowledge representation schema. The knowledge base of the system is constructed byusing real patient data and expert opinion from Bangladesh. It has been observed that the results generated by using the BREBES are more reliable than those from the manual system.

AB - Bronchiolitis is a common disease in children and an acute viral infection of the bronchioles that affects millions of children around the world. The assessment of the suspicion of this disease is usually carried out by looking at its signs andsymptoms. However, these signs and symptoms cannot be measured with cent percent certainty, resulting in inaccuracy in determining the occurrence of Bronchiolitis. Therefore, this paper presents the development of a Belief Rule-Based Expert System (BRBES) to assess the suspicion of Bronchiolitis by usingsigns and symptoms under uncertainty. The recently developed generic belief rule-based inference methodology by using evidential reasoning (RIMER) acts as the inference engine of this BRBES while belief rule base as the knowledge representation schema. The knowledge base of the system is constructed byusing real patient data and expert opinion from Bangladesh. It has been observed that the results generated by using the BREBES are more reliable than those from the manual system.

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KW - RIMER

KW - Bronchiolitis

KW - Suspicion

KW - signs and symptoms

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T3 - Lecture Notes in Networks and Systems

SP - 331

EP - 343

BT - Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016

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A2 - Kapoor, Supriya

A2 - Bhatia, Rahul

PB - Springer Publishing Company

ER -

Karim R, Hossain MS, Khalid MS, Mustafa R, Bhuiyan TA. A Belief Rule-Based Expert System to Assess Bronchiolitis Suspicion from Signs and Symptoms Under Uncertainty. I Bi Y, Kapoor S, Bhatia R, red., Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. Bind 1. Springer Publishing Company. 2017. s. 331-343. (Lecture Notes in Networks and Systems, Bind 15). https://doi.org/10.1007/978-3-319-56994-9_23