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Page 28 of The Journal of the Operational Research Society Vol. 58, Issue 1
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2007
The Journal of the Operational Research Society
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Integration of ART- Kohonen neural network and case-based reasoning for intelli- gent fault diagnosis. Expert Syst Appl 26: 387-395.
Yang B-S, Lim D-S and Tan ACC (2005). ...
Heuristic genetic algorithms for general capacitated lot-sizing problems. Comput Math Appl 44: 263-276.
Xue D, Yadav S and Norrie DH (1999). ...
Intelligent Computer Systems for Multiple Sclerosis Diagnosis: a Systematic Review of Reasoning Techniques and Methods
2018
Acta Informatica Medica
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Intelligent computer systems are used in diagnosing Multiple Sclerosis and help physicians in the accurate and timely diagnosis of the disease. ...
which have been selected based on inclusion criteria such as system scope and domain, full description of reasoning method and system evaluation. ...
Panagi (55)
2012
Diagnosis
(1)Genetic programming(2)Induc-
tive machine learning approach
(1)Genetic algorithm(2)Decision tree
Compound methods
25.Bikram L.Shrestha (23)
2008
Diagnosis
Case-based ...
doi:10.5455/aim.2018.26.258-264
pmid:30692710
pmcid:PMC6311112
fatcat:l6j7xzy4bzbazoirl73y4pnxeu
Explanation-aware computing of the prognosis for breast cancer supported by IK-DCBRC: Technical innovation
2014
Electronic Physician
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The computer-aided detection is conducted by IK-DCBRC, which is a multi-agent system that applies the case-based reasoning paradigm and a fuzzy similarity function for the automatic prognosis by the class ...
This paper presents an explanation-aware agent, supported by Intensive Knowledge-Distributed Case-Based Reasoning Classifier (IK-DCBRC), to reduce the uncertainty and risks associated with the diagnosis ...
Acknowledgments: The authors thank so much every person who shared useful information with us or provided valuable guidance. ...
doi:10.14661/2014.947-954
pmid:25763174
pmcid:PMC4324263
fatcat:32eqc35brfb2ddjjfz2stx3npq
Prediction of breast cancer biopsy outcomes using a distributed genetic programming approach
2010
Proceedings of the ACM international conference on Health informatics - IHI '10
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Previous work has achieved good results using a decision tree, an artificial neural networks and a case-based reasoning approach to develop predictive classifiers. ...
Therefore, an automatic method is necessary to aid physicians in the prognosis of mammography interpretations. The data set used is based on BI-RADS findings. ...
A case-based reasoning CAD system reasons based on stored knowledge, i.e. given cases with associated ground truth) and its final diagnosis outcome is based on the ground truth of the stored cases that ...
doi:10.1145/1882992.1883099
dblp:conf/ihi/Ludwig10
fatcat:kdtufkzsfrhtjoralgbzgscfzq
Computational Intelligence Techniques in Medicine
2015
Computational and Mathematical Methods in Medicine
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Computer-aided screening for Alzheimer's disease based on neuropsychological rating scales is carried out by a hybrid approach which combines rough sets, genetic algorithms, and Bayesian networks, and ...
One of the best-known application fields of these techniques is computer-aided diagnosis (CAD). ...
doi:10.1155/2015/196976
pmid:25834633
pmcid:PMC4365332
fatcat:fvocknrkircdnmascwm5e73bmm
A Genetic-Neuro-Fuzzy inferential model for diagnosis of tuberculosis
2017
Applied Computing and Informatics
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been faced with a number of challenges which can, if measure not taken, increase the spread rate; hence, there is a need for aid in diagnosis of the disease. ...
Despite efforts, the coverage of tuberculosis disease (with HIV prevalence) in Nigeria rose from 2.2% in 1991 to 22% in 2013 and the orthodox diagnosis methods available for Tuberculosis diagnosis were ...
Ahmed of Obafemi Awolowo University Teaching Hospital Complex, Wesley Guild Unit, Ilesa, Osun State, Nigeria, for his assistance on rule-base formulation and proposed model performance evaluation. ...
doi:10.1016/j.aci.2015.06.001
fatcat:apgd7uu6drcple23itma2g72ti
Computational intelligence for the detection and classification of malignant lesions in screening mammography
2006
Oncology Reports
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Similar datasets have been previously used in an attempt to facilitate the development of computer algorithms to aid screening. ...
The diagnostic rules which were obtained from both genetic programming and machine learning have been evaluated in detail and then analyzed and discussed by collaborative medical experts, in parallel to ...
quantifying or approximating fuzziness contained inside common language and reasoning); c) genetic algorithms and evolutionary computing (computational and mathematical representation of the main principles ...
doi:10.3892/or.15.4.1037
fatcat:fst7awq7fjhupoeshnrjbj2eci
A Survey on Case-based Reasoning in Medicine
2016
International Journal of Advanced Computer Science and Applications
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Case-based reasoning (CBR) based on the memorycentered cognitive model is a strategy that focuses on how people learn a new skill or how they generate hypothesis on new situations based on their past experiences ...
Among various Artificial Intelligence tracks, CBR, due to its intrinsic similarity with the human reasoning process has been very promising in the utilization of intelligent systems in various domains, ...
Some of the more recent systems perform adaptation successfully, with the help of soft computing techniques, e.g. eXiT*CBR.v2 [98] revises and reuses the cases using genetic algorithms; EquiVox developed ...
doi:10.14569/ijacsa.2016.070820
fatcat:jl6ik24bqveoffimndhjbfq2gy
A Hybrid Intelligent Diagnosis Approach for Quick Screening of Alzheimer's Disease Based on Multiple Neuropsychological Rating Scales
2015
Computational and Mathematical Methods in Medicine
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Aiming at identifying AD's stages more accurately and conveniently in screening, we proposed a computer-aided diagnosis approach based on critical items extracted from multiple neuropsychological scales ...
There are two stages: one is attributes reduction technique based on rough sets and genetic algorithm, which can find out the most discriminative items for AD diagnosis in scales; the other is uncertain ...
[22] showed a computer-aided diagnosis (CAD) system for the diagnosis of AD. His method is based on partial least squares regression model and a random forest predictor. ...
doi:10.1155/2015/258761
pmid:25815043
pmcid:PMC4359840
fatcat:llcxprcujjgwvkbmxsaggp4u3u
Computer Aided Diagnostic Systems for Managing Typhoid Fever: A Review of Diagnosis Techniques
2015
International Journal of Computer Applications
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This research proposed an intelligent system driven by Genetic Algorithm, Neural Network and Fuzzy logic concepts for the diagnosis of TF. Evaluation of the developed system was also carried out. ...
computer -aided diagnostic
system desirable ...
doi:10.5120/ijca2015906071
fatcat:ppdvsus4rbe2fncrhgwdym6rli
Computational Models for Diagnosing Tuberculosis: A Systematic Review
2017
Journal of Review and Research in Sciences
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Aim: This research focused on systematic review and analysis of computational models for diagnosis of TB with the view to identifying their strengths and weaknesses. ...
The overall target is to develop a standard and robust computational model with improved diagnostic power. ...
ACKNOWLEDGEMENTS We acknowledge the supports of the following medical personnel for the provision of some medical facts and details on TB diagnosis and treatment while they were interviewed: Dr Abitoye ...
doi:10.36108/jrrslasu/7102/40(0120)
fatcat:uovzbhwu5jb5hilfddlafbchcm
ONCObc-ST: An Improved Clinical Reasoning Algorithm Based on Select and Test (ST) Algorithm for Diagnosing Breast Cancer
2019
Current Research in Bioinformatics
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Most reasoning algorithms for medical diagnosis are either limited by their techniques or accuracy and efficiency. ...
Secondly, we designed an inference making procedure to enable interaction with the knowledge base mentioned earlier. ...
Author's Contributions The enhancment and implementation of the ST algorithm was the contribution of the first author. ...
doi:10.3844/ajbsp.2019.1.13
fatcat:hmnktsk7yzf33moq3qsnxodiwy
A FRAMEWORK FOR CANCER DECISION SUPPORT BASED ON PROFILING BY INTEGRATING CLINICAL AND GENOMIC DATA: APPLICATION TO COLON CANCER
2008
Advanced Topics in Scattering and Biomedical Engineering
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The framework is based on profiling patients with similar characteristics and based on these profiles, advanced decision support is provided to new patients. ...
The novel feature of the proposed work is the integration of clinical with genetic data, in the most prominent way so as to maximize the information related to the status of a patient. ...
This research is part funded by the European Commission as part of the project MATCH (Automated diagnosis system for the treatment of colon cancer by discovering mutations on tumor suppressor genes, IST ...
doi:10.1142/9789812814852_0029
fatcat:dhwx2wbzlvdxbmqasfzid4enam
The Role of Pattern Recognition in Computer-Aided Diagnosis and Computer-Aided Detection in Medical Imaging: A Clinical Validation
2010
International Journal of Computer Applications
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Subsequently, the extracted information is fed into a decisional algorithm that is designed to perform the diagnostic task.The talk covers new methods for pattern recognition and computer-aided diagnosis ...
The extracted features can now be merged into a diagnosis by using a decision-making algorithm, with choices that range from the rule-based models to the traditional statistical analysis to the more popular ...
[1] [2]
Uses
COMPUTER-AIDED DIAGNOSIS: ROLE OF IMAGE TEXTURE ANALYSIS The concept of 'computer aided diagnosis' (which is also called CAD) refers to software that analyses a radiographic finding ...
doi:10.5120/1207-1729
fatcat:fd2rh3z7crcvzasoylogw6jyii
Diagnosis of Lung Disorder Using Immune Genetic Algorithm and Fuzzy logic to Handle Incertitude
2018
Acta Graphica
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In this paper, we present an immune based fuzzy-logic approach for computer-aided diagnosis scheme in medical imaging. The scheme applies to lung CT images and to detect and classify lung nodules. ...
Classification of lung tissue is a significant and challenging task in any computer aided diagnosis system. ...
Introduction Research in computer-aided diagnosis CAD is a rapidly growing dynamic field with new computer techniques, new imaging modalities and new interpretation tasks. ...
doi:10.25027/agj2017.28.v28i4.100
fatcat:rjn32rugxbbytbemaflmungqeq
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