Classification of Erythematosquamous Dermatosis by the Method ofRandom Forest

Authors

  • Dwaipayan Mukhopadhyay Ph.D. Candidate, Department of Mathematical Sciences, University of Nevada Las Vegas, USA Author
  • Dieudonne D Phanord Professor, Department of Mathematical Sciences, University of Nevada Las Vegas, USA Author
  • Rohan J Dalpatadu Professor, Department of Mathematical Sciences, University of Nevada Las Vegas, USA Author
  • Ashok K Singh Chair & Professor, Department of Resorts Gaming & Golf Management, University of Nevada Las Vegas, USA Author

DOI:

https://doi.org/10.47363/JDMRS/2023(4)143

Keywords:

Erythematosquamous, Dermatosis, Random Forest

Abstract

Machine Learning (ML) methods have found wide applications indermatology (Chan et al., 2020) [1]. Thomsen, Iversen, Titlestad & Winther (2020) reviewed 2175 publications and found that the most common usage of ML methods was in the binary classification of malignant melanoma from images [2]

Author Biographies

  • Dwaipayan Mukhopadhyay, Ph.D. Candidate, Department of Mathematical Sciences, University of Nevada Las Vegas, USA

    Ph.D. Candidate, Department of Mathematical Sciences, University of Nevada Las Vegas, USA

  • Dieudonne D Phanord, Professor, Department of Mathematical Sciences, University of Nevada Las Vegas, USA

    Professor, Department of Mathematical Sciences, University of Nevada Las Vegas, USA

  • Rohan J Dalpatadu, Professor, Department of Mathematical Sciences, University of Nevada Las Vegas, USA

    Professor, Department of Mathematical Sciences, University of Nevada Las Vegas, USA

  • Ashok K Singh, Chair & Professor, Department of Resorts Gaming & Golf Management, University of Nevada Las Vegas, USA

    Ashok K Singh, Chair & Professor, Department of Resorts Gaming & Golf Management, University of Nevada Las Vegas, USA

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Published

2023-01-20

Issue

Vol. 4 No. 1 (2023): Voulume 4 Issue 1

Section

Articles