A Dual Phase Probabilistic Model for Dermatology Classification

Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 5)

Abstract

Medical data processing is one of the most required and critical application areas. The work requires the expert information processing with each stage. The data collection to classification must be defined with specified rule formulation and observations. In this paper, a specialized skin disease processing method is defined for Dermatology Disease. The proposed work model is divided in three main stages. In first stage, the data processing and analysis is applied under statistical parameters. In second stage, these parameters are observed with probabilistic measures to generate the predictive cell structure. In the final stage, the Bayesian network is applied to perform the disease classification. The implementation of work is applied on three different sample sets. The implementation results show that the method has provided the highly accurate results.

Keywords

Dermatology Skin disease Classifier Bayesian net 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  1. 1.Department of Computer Science & EngineeringAmity UniversityNoidaIndia

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