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Oncology Reports
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Print ISSN: 1021-335X Online ISSN: 1791-2431
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April 2006 Volume 15 Issue 4

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International Journal of Molecular Medicine

International Journal of Molecular Medicine

International Journal of Molecular Medicine is an international journal devoted to molecular mechanisms of human disease.

International Journal of Oncology

International Journal of Oncology

International Journal of Oncology is an international journal devoted to oncology research and cancer treatment.

Molecular Medicine Reports

Molecular Medicine Reports

Covers molecular medicine topics such as pharmacology, pathology, genetics, neuroscience, infectious diseases, molecular cardiology, and molecular surgery.

Oncology Reports

Oncology Reports

Oncology Reports is an international journal devoted to fundamental and applied research in Oncology.

Experimental and Therapeutic Medicine

Experimental and Therapeutic Medicine

Experimental and Therapeutic Medicine is an international journal devoted to laboratory and clinical medicine.

Oncology Letters

Oncology Letters

Oncology Letters is an international journal devoted to Experimental and Clinical Oncology.

Biomedical Reports

Biomedical Reports

Explores a wide range of biological and medical fields, including pharmacology, genetics, microbiology, neuroscience, and molecular cardiology.

Molecular and Clinical Oncology

Molecular and Clinical Oncology

International journal addressing all aspects of oncology research, from tumorigenesis and oncogenes to chemotherapy and metastasis.

World Academy of Sciences Journal

World Academy of Sciences Journal

Multidisciplinary open-access journal spanning biochemistry, genetics, neuroscience, environmental health, and synthetic biology.

International Journal of Functional Nutrition

International Journal of Functional Nutrition

Open-access journal combining biochemistry, pharmacology, immunology, and genetics to advance health through functional nutrition.

International Journal of Epigenetics

International Journal of Epigenetics

Publishes open-access research on using epigenetics to advance understanding and treatment of human disease.

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Article

Breast tumor malignancy modelling using evolutionary neural logic networks

  • Authors:
    • Athanasios Tsakonas
    • Georgios Dounias
    • Georgia Panagi
    • Evangelia Panourgias

  • View Affiliations / Copyright

    Affiliations: Artificial Intelligence and Information Analysis Laboratory, Department of Informatics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
  • Pages: 1013-1017
    |
    Published online on: April 1, 2006
       https://doi.org/10.3892/or.15.4.1013
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Abstract

The present work proposes a computer assisted methodology for the effective modelling of the diagnostic decision for breast tumor malignancy. The suggested approach is based on innovative hybrid computational intelligence algorithms properly applied in related cytological data contained in past medical records. The experimental data used in this study, were gathered in the early 1990s in the University of Wisconsin, based in post diagnostic cytological observations performed by expert medical staff. Data were properly encoded in a computer database and accordingly, various alternative modelling techniques were applied on them, in an attempt to form diagnostic models. Previous methods included standard optimisation techniques, as well as artificial intelligence approaches, in a way that a variety of related publications exists in modern literature on the subject. In this report, a hybrid computational intelligence approach is suggested, which effectively combines modern mathematical logic principles, neural computation and genetic programming in an effective manner. The approach proves promising either in terms of diagnostic accuracy and generalization capabilities, or in terms of comprehensibility and practical importance for the related medical staff.

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Copy and paste a formatted citation
Spandidos Publications style
Tsakonas A, Dounias G, Panagi G and Panourgias E: Breast tumor malignancy modelling using evolutionary neural logic networks. Oncol Rep 15: 1013-1017, 2006.
APA
Tsakonas, A., Dounias, G., Panagi, G., & Panourgias, E. (2006). Breast tumor malignancy modelling using evolutionary neural logic networks. Oncology Reports, 15, 1013-1017. https://doi.org/10.3892/or.15.4.1013
MLA
Tsakonas, A., Dounias, G., Panagi, G., Panourgias, E."Breast tumor malignancy modelling using evolutionary neural logic networks". Oncology Reports 15.4 (2006): 1013-1017.
Chicago
Tsakonas, A., Dounias, G., Panagi, G., Panourgias, E."Breast tumor malignancy modelling using evolutionary neural logic networks". Oncology Reports 15, no. 4 (2006): 1013-1017. https://doi.org/10.3892/or.15.4.1013
Copy and paste a formatted citation
x
Spandidos Publications style
Tsakonas A, Dounias G, Panagi G and Panourgias E: Breast tumor malignancy modelling using evolutionary neural logic networks. Oncol Rep 15: 1013-1017, 2006.
APA
Tsakonas, A., Dounias, G., Panagi, G., & Panourgias, E. (2006). Breast tumor malignancy modelling using evolutionary neural logic networks. Oncology Reports, 15, 1013-1017. https://doi.org/10.3892/or.15.4.1013
MLA
Tsakonas, A., Dounias, G., Panagi, G., Panourgias, E."Breast tumor malignancy modelling using evolutionary neural logic networks". Oncology Reports 15.4 (2006): 1013-1017.
Chicago
Tsakonas, A., Dounias, G., Panagi, G., Panourgias, E."Breast tumor malignancy modelling using evolutionary neural logic networks". Oncology Reports 15, no. 4 (2006): 1013-1017. https://doi.org/10.3892/or.15.4.1013
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