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An expert system for selecting wart treatment method

Khozeimeh, F ; Sharif University of Technology | 2017

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  1. Type of Document: Article
  2. DOI: 10.1016/j.compbiomed.2017.01.001
  3. Publisher: Elsevier Ltd , 2017
  4. Abstract:
  5. As benign tumors, warts are made through the mediation of Human Papillomavirus (HPV) and may grow on all parts of body, especially hands and feet. There are several treatment methods for this illness. However, none of them can heal all patients. Consequently, physicians are looking for more effective and customized treatments for each patient. They are endeavoring to discover which treatments have better impacts on a particular patient. The aim of this study is to identify the appropriate treatment for two common types of warts (plantar and common) and to predict the responses of two of the best methods (immunotherapy and cryotherapy) to the treatment. As an original work, the study was conducted on 180 patients, with plantar and common warts, who had referred to the dermatology clinic of Ghaem Hospital, Mashhad, Iran. In this study, 90 patients were treated by cryotherapy method with liquid nitrogen and 90 patients with immunotherapy method. The selection of the treatment method was made randomly. A fuzzy logic rule-based system was proposed and implemented to predict the responses to the treatment method. It was observed that the prediction accuracy of immunotherapy and cryotherapy methods was 83.33% and 80.7%, respectively. According to the results obtained, the benefits of this expert system are multifold: assisting physicians in selecting the best treatment method, saving time for patients, reducing the treatment cost, and improving the quality of treatment. © 2017 Elsevier Ltd
  6. Keywords:
  7. Cryotherapy ; Fuzzy rule-based system ; Immunotherapy ; Warts ; Expert systems ; Forecasting ; Fuzzy inference ; Fuzzy logic ; Fuzzy rules ; Fuzzy logic rules ; Human papillomavirus ; Mashhad , Iran ; Prediction accuracy ; Treatment costs ; Treatment methods ; Patient treatment ; Liquid nitrogen ; Aged ; Article ; Common wart ; Dermatology ; Expert system ; Female ; Human ; Iran ; Major clinical study ; Male ; Priority journal ; Treatment response ; Verruca plantaris ; Verruca vulgaris ; Algorithm ; Clinical decision making ; Clinical decision support system ; Computer assisted therapy ; Controlled study ; Organization and management ; Outcome assessment ; Patient selection ; Procedures ; Prognosis ; Randomized controlled trial ; Reproducibility ; Sensitivity and specificity ; Treatment outcome ; Young adult ; Adolescent ; Adult ; Algorithms ; Clinical decision-making ; Decision support systems, clinical ; Female ; Humans ; Machine learning ; Middle aged ; Outcome assessment (health care) ; Reproducibility of results ; Therapy, computer-assisted
  8. Source: Computers in Biology and Medicine ; Volume 81 , 2017 , Pages 167-175 ; 00104825 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/pii/S001048251730001X