A Belief Rule Base Expert System for staging Non-Small Cell Lung Cancer under Uncertainty

2019 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON)

Document identifier: oai:DiVA.org:ltu-76793
Access full text here:10.1109/BECITHCON48839.2019.9063182
Keyword: Natural Sciences, Computer and Information Sciences, Media and Communication Technology, Naturvetenskap, Data- och informationsvetenskap, Medieteknik, Non-Small Cell Lung Cancer (NSCLC), Expert System, Uncertainty, Belief rules base, Evidential Reasoning, Pervasive Mobile Computing, Distribuerade datorsystem
Publication year: 2019
Relevant Sustainable Development Goals (SDGs):
SDG 3 Good health and wellbeing
The SDG label(s) above have been assigned by OSDG.ai

Abstract:

Non small cell Lung cancer (NSCLC) is one of the most well-known types of Lung cancer which is reason for cancer related demise in Bangladesh. The early detection stage of NSCLC is required for improving the survival rate by taking proper decision for surgery and radiotherapy. The most common factors for staging NSCLC are age, tumor size, lymph node distance, Metastasis and Co morbidity. Moreover, physicians' diagnosis is unable to give more reliable outcome due to some uncertainty such as ignorance, incompleteness, vagueness, randomness, imprecision. Belief Rule Base Expert System (BRBES) is fit to deal with above mentioned uncertainty by applying both Belief Rule base and Evidential Reasoning approach. Therefore, this paper represents the architecture, development and interface for staging NSCLC by incorporating belief rule base as well as evidential reasoning with the capability of handling uncertainty. At last, a comparative analysis is added which indicate that the outcomes of proposed expert system is more reliable and efficient than the outcomes generated from traditional human expert as well as Support Vector Machine (SVM) or Fuzzy Rule Base Expert System (FRBES).

Authors

Munmun Biswas

BGC Trust University Bangladesh,Department of Computer Science and Engineering,Bidyanagar, Chandanaish,Bangladesh
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Mohammad Salah Uddin Chowdury

BGC Trust University Bangladesh,Department of Computer Science and Engineering,Bidyanagar, Chandanaish,Bangladesh
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Nazmun Nahar

BGC Trust University Bangladesh,Department of Computer Science and Engineering,Bidyanagar, Chandanaish,Bangladesh; Department of Computer Science and Engineering, BGC Trust University, Bangladesh
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Mohammad Shahadat Hossain

University of Chittagong University,Department of Computer Science and Engineering,Bangladesh,4331
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Karl Andersson

Luleå tekniska universitet; Datavetenskap; Pervasive Mobile Computing
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