Addressing the issue, the paper proposes a methodology to develop a Bayesian classifier for diagnosing some common dental diseases (D = 10) using a set of 14 ...

Oct 13, 2010 · The paper proposes a methodology to develop a Bayesian classifier for diagnosing some common dental diseases (D = 10) using a set of 14 pain parameters (P = 14 ...

Mar 11, 2024 · Addressing the issue, the paper proposes a methodology to develop a Bayesian classifier for diagnosing some common dental diseases (D = 10) ...

The paper proposes a methodology to develop a Bayesian classifier for diagnosing some common dental diseases using a set of 14 pain parameters, which showed ...

Addressing the issue, the paper proposes a methodology to develop a Bayesian classifier for diagnosing some common dental diseases ( D = 10) using a set of 14 ...

Apr 9, 2022 · Bibliographic details on Application of Bayesian Classifier for the Diagnosis of Dental Pain.

Jun 1, 2012 · A naïve Bayesian classifier (NBC) is then designed initially that predicts either presence/absence of diseases given a set of pain parameters.

Application of Bayesian Classifier for the Diagnosis of Dental Pain ... Authors: Subhagata Chattopadhyay; Rima M. Davis; Daphne D. Menezes; Gautam Singh; Rajendra ...

In Dentistry, few symptoms are not enough for diagnosis. In this research, a conditional probability model (Bayes rule) was developed with increased number of ...

Addressing the issue, the paper proposes a methodology to develop a Bayesian classifier for diagnosing some common dental diseases (D = 10) using a set of 14 ...