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Page 28 of The Journal of the Operational Research Society Vol. 58, Issue 1 [page]

2007 The Journal of the Operational Research Society  
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

Leila Arani, Azamossadat Hosseini, Farkhondeh Asadi, Seyed Masoud, Eslam Nazemi
2018 Acta Informatica Medica  
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

Abdeldjalil Khelassi
2014 Electronic Physician  
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

Simone A. Ludwig
2010 Proceedings of the ACM international conference on Health informatics - IHI '10  
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

Ezequiel López-Rubio, David A. Elizondo, Martin Grootveld, José M. Jerez, Rafael M. Luque-Baena
2015 Computational and Mathematical Methods in Medicine  
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

Mumini Olatunji Omisore, Oluwarotimi Williams Samuel, Edafe John Atajeromavwo
2017 Applied Computing and Informatics  
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

Evangelia Panourgias, Athanasios Tsakonas, Georgios Dounias, Georgia Panagi
2006 Oncology Reports  
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

Nabanita Choudhury, Shahin Ara
2016 International Journal of Advanced Computer Science and Applications  
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

Ziming Yin, Yinhong Zhao, Xudong Lu, Huilong Duan
2015 Computational and Mathematical Methods in Medicine  
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

Oguntimilehin A., Abiola O.B., Olatunji K.A.
2015 International Journal of Computer Applications  
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

Oluwatosin Ogunbodede, Boluwaji Akinnuwesi, Benjamin Aribisala
2017 Journal of Review and Research in Sciences  
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

Olaide Nathaniel Oyelade, Sunday Adeyemi Adewuyi
2019 Current Research in Bioinformatics  
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

T. P. EXARCHOS, N. GIANNAKEAS, Y. GOLETSIS, C. PAPALOUKAS, D. I. FOTIADIS
2008 Advanced Topics in Scattering and Biomedical Engineering  
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

Srinivasan Nagaraj, G Narasinga rao, K Koteswararao
2010 International Journal of Computer Applications  
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

Pandithurai Othiyappan
2018 Acta Graphica  
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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