Journal of Clinical & Experimental Dermatology Research
Open Access

Department of Electical-Electronik and Computer Engineering, Düzce University, Düzce, Turkey

Publications

• Research Article   
  Diagnosis of Erythemato-Squamous Skin Diseases by Machine Learning Algorithms
  Author(s): Mustafa Necati Bozok* and Ali Çalhan
  
  Since erythema squamous skin diseases show very close findings in clinical examination, a biopsy is taken from the patient for definitive diagnosis and the diagnosis of the disease can be made according to the biopsy result. On literature, classification studies were carried out on these diseases using machine learning and classification methods. Researches were mostly focused on optimizing and reducing database features for better classification score. Due to importance of reflecting specifications of diseases we especially focused on dataset features named as clinic or histopathological features findings. In this study, histopathological features of diseases were discussed first and then we developed an algorithm to remove outlier data from the dataset. This algorithm leads us to discover a threshold value to achieve better outlier removal. Logistic regression, .. View More»
  DOI: 10.35248/2155-9554.22.13.615

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