Differential Diagnosis of Erythmato-Squamous Diseases Using Classification and Regression Tree.

Journal: Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH
Published Date: Nov 1, 2016

Abstract

INTRODUCTION: Differential diagnosis of Erythmato-Squamous Diseases (ESD) is a major challenge in the field of dermatology. The ESD diseases are placed into six different classes. Data mining is the process for detection of hidden patterns. In the case of ESD, data mining help us to predict the diseases. Different algorithms were developed for this purpose.

Authors

  • Keivan Maghooli
    Biomedical Engineering Department, Science and Research Branch, Islamic Azad University, Tehran, Iran.
  • Mostafa Langarizadeh
    Department of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
  • Leila Shahmoradi
    Department of Health Information Management, Faculty of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
  • Mahdi Habibi-Koolaee
    Department of Health Information Management, Faculty of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran; Department of Health Information Technology, School of Allied Medical Sciences, Urmia University of Medical Sciences, Urmia, Iran.
  • Mohamad Jebraeily
    Department of Librarianship and Medical Information, Hamadan University of Medical Sciences& Health Services, Hamadan, Iran.
  • Hamid Bouraghi
    Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.

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