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International Conference on Advancements of Medicine and Health Care through Technology; 5th – 7th June 2014, Cluj-Napoca, Romania pp 57–62Cite as

Artificial Intelligence Applied in Diagnostic and Treatment of Dukes C Colorectal Cancer

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Part of the book series: IFMBE Proceedings ((IFMBE,volume 44))

Abstract

One of the most common causes of morbidity and mortality from malignant tumors of the gastrointestinal tract is colorectal cancer. The paper presents a case analysis of Dukes C colorectal cancer patients who underwent radical surgery at the County Clinic Hospital, Cluj-Napoca, Romania. In order to predict the survival rate of colorectal cancer patients an artificial intelligence neural network has been implemented by the authors based on obtained statistical data.

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Author information

Authors and Affiliations

  1. 5th Surgical Department, “Iuliu Hateganu” University of Medicine and Pharmacy, Cluj-Napoca, Romania

    B. Micu & N. Constantea

  2. Department of Anatomy and Embryology, “Iuliu Hateganu” University of Medicine and Pharmacy, Cluj-Napoca, Romania

    C. Micu

  3. 2nd Surgical Department, “Iuliu Hateganu” University of Medicine and Pharmacy, Cluj-Napoca, Romania

    A. Andercou

Authors
  1. B. Micu
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  2. C. Micu
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  3. A. Andercou
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  4. N. Constantea
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Editor information

Editors and Affiliations

  1. Faculty of Electrical Engineering, Technical University of Cluj-Napoca, Cluj-Napoca, Romania

    Simona Vlad

  2. Faculty of Electrical Engineering, Technical University of Cluj-Napoca, Cluj-Napoca, Romania

    Radu V. Ciupa

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© 2014 Springer International Publishing Switzerland

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Cite this paper

Micu, B., Micu, C., Andercou, A., Constantea, N. (2014). Artificial Intelligence Applied in Diagnostic and Treatment of Dukes C Colorectal Cancer. In: Vlad, S., Ciupa, R. (eds) International Conference on Advancements of Medicine and Health Care through Technology; 5th – 7th June 2014, Cluj-Napoca, Romania. IFMBE Proceedings, vol 44. Springer, Cham. https://doi.org/10.1007/978-3-319-07653-9_12

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  • DOI: https://doi.org/10.1007/978-3-319-07653-9_12

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07652-2

  • Online ISBN: 978-3-319-07653-9

  • eBook Packages: EngineeringEngineering (R0)

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