Open Access
MATEC Web Conf.
Volume 125, 2017
21st International Conference on Circuits, Systems, Communications and Computers (CSCC 2017)
Article Number 02063
Number of page(s) 6
Section Systems
Published online 04 October 2017
  1. Health Care Forum: War on Cancer, The Economist Group, (2016). [Google Scholar]
  2. Elham Maserat, Reza Safdari, Marjan Ghazisaeidi, Elahe Maserat, Sima Ghezelbash, Simulation models of gastrointestinal cancers: strategic approach to predicting and decision making, AME Publishing Company, Transl Gastrointest Cancer (4):174–177, (2014). [Google Scholar]
  3. [Google Scholar]
  4. [Google Scholar]
  5. [Google Scholar]
  6. Deepika ponnal, sujatha madireddi, evaluation of risk factors for gastric cancer, International Journal of Applied Biology and Pharmaceutical Technology, Volume: I: Issue-1 May-July –(2010) [Google Scholar]
  7. D. Compare, a. Rocco, g. Nardone, risk factors in gastric cancer, european review for medical and pharmacological sciences,(2010) [Google Scholar]
  8. Seyed Abbas Mahmoodi, Kamal Mirzaie and Seyed Mostafa Mahmoudi, A new algorithm to extract hidden rules of gastric cancer data based on ontology, Springer Plus (2016) [Google Scholar]
  9. T.p.Exarchos, N. Giannakeas and y. Goletsis, a framework for cancer decision support based on profiling by integrating clinical and genomic data: application to colon cancer, [Google Scholar]
  10. Rafael Marcos Luque-Baena, Daniel Urda2 Jose Luis Subirats, Leonardo Franco Jerez Jose M, Application of genetic algorithms and constructive neural networks for the analysis of microarray cancer data, Luque-Baena et al. Theoretical Biology and Medical Modelling(2014) [Google Scholar]
  11. E V Polyakov, O G Sukhova, P Y Korenevskaya, V S Ovcharova, I O Kudryavtseva, S V Vlasova, O P Grebennikova, D A Burov, G S Yemelyanova and V Y Selchuk, Computer decision support system for the stomach cancer diagnosis, International Conference on Particle Physics and Astrophysics(2017) [Google Scholar]
  12. Renata Saraiva, Mirko Perkusich, Lenardo Silva, Hyggo Almeida, Clauirton Siebra, Angelo Perkusich, Early diagnosis of gastrointestinal camncer by using case-based and rule-based reasoning, Elsevier Ltd.(2016). [Google Scholar]
  13. Feifei Feng & Yiming Wu & Yongjun Wu & Guangjin Nie & Ran Ni, The Effect of Artificial Neural Network Model Combined with Six Tumor Markers in Auxiliary Diagnosis of Lung Cancer, Springer Science+Business Media(2012). [Google Scholar]
  14. Danial Ahmadzadeh, Mohammad Fiuzy, Javad Haddadnia, Stomach Cancer Diagnosis by Using a Combination of Image Processing Algorithms, Local Binary Pattern Algorithm and Support Vector Machine, Journal of Basic and Applied Scientific Research [Google Scholar]
  15. Noya Horowitz, Menachem Moshkowitz, Zamir Halpern, Moshe Leshno, Applying Data Mining Techniques in the Development of a Diagnostics Questionnaire for GERD, Springer Science + Business Media, Inc. (2006). [Google Scholar]
  16. Abraham Karplus, Machine Learning Algorithms for Cancer Diagnosis,(2012) [Google Scholar]
  17. M.M. Zheng, S.M. Krishnan, M.P. Tjoa, A fusion-based clinical decision support for disease diagnosis from endoscopic images, Computers in Biology and Medicine 35 (2005) [CrossRef] [Google Scholar]
  18. Charalampos Moschopoulos, Dusan Popovic, Alejandro Sifrim, Grigorios Beligiannis, Bart De Moor and Yves Moreau, A genetic algorithm for pancreatic cancer diagnosis, [Google Scholar]
  19. Elfriede H. Bollschweiler, Stefan P. Mönig, Karin Hensler, Artificial Neural Network for Prediction of Lymph Node Metastases in Gastric Cancer: A Phase II Diagnostic Study, Annals of Surgical Oncology(2004) [Google Scholar]
  20. Pedro G. Ramos, University of Louisville, Louisville KY, Pedro G. Ramos, Gastrointestinal Diseases: Diagnoses, Misdiagnoses, and Comorbidities, (2010). [Google Scholar]
  21. Mahmood Reza Gohari, Akbar Biglarian, Enayatollah Bakhshi, Mohammad Amin Pourhoseingholi, Use of an Artificial Neural Network to Determine Prognostic Factors in Colorectal Cancer Patients, Asian Pacific Journal of Cancer Prevention, Vol 12, (2011) [Google Scholar]
  22. Marios Poulos, Knowledge-based system for prognosis of specific types of cancer using Elman neural network, Artificial Intelligence Research, Vol. 2, No. 2,(2013) [Google Scholar]
  23. Joseph A. Cruz, David S. Wishart, Applications of Machine Learning in Cancer Prediction and Prognosis, Cancer Informatics:2 59–77,(2006). [Google Scholar]
  24. Peter Lucas, Henk Boot & Babs Taal, Computer-based Decision Support inthe Management of Primary Gastric non-Hodgkin Lymphoma, Methods of Information in Medicine 37, (1998) [Google Scholar]
  25. Lucheng Zhu, Wenhua Luo, Meng Su Wei, Juan Wei, Xuebang Zhang and Changlin Zou, Comparison between artificial neural network and cox regression model in predicting the survival rate of gastric cancer patients, biomedical reports 1: 757–760, (2013) [Google Scholar]
  26. A Biglarian, E Hajizadeh, A Kazemnejad, Application of Artificial Neural Network in Predicting the Survival Rate of Gastric Cancer Patients, Iranian J Publ Health, Vol. 40, No.2, pp.80–86, (2011). [Google Scholar]
  27. Hamid Nilsaz-Dezfouli1, Mohd Rizam Abu-Bakar, Jayanthi Arasan, Mohd Bakri Adam and Mohamad Amin Pourhoseingholi, Improving Gastric Cancer Outcome Prediction Using Single Time-Point Artificial Neural Network Models, (2017) [Google Scholar]
  28. Saeid Afshar, Fahime Abdolrahmani, Fereshte Vakili Tanha, Mahin Zohdi Seaf, Kobra Taheri, Quick and reliable diagnosis of stomach cancer by artificial neural network, Proceedings of the 10th WSEAS International Conference on MATHEMATICS and COMPUTERS in BIOLOGY and CHEMISTRY,(2009). [Google Scholar]

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