Analyzing Relationship between Patient and Doctor in Public Dental Health using Particle Memetic Multivariable Logistic Regression Analysis Approach (MLRA2).

In the developing technology managing patient and doctor relationship and communication process is one of the critical factors because the patient may take high risk surgery, treatment and diagnosis. Due to the importance of the patient-doctor relationship, in this paper investigate the various aspects of relation between the doctor and dental problem related patients. During the analyzing process, data has been collected from adults who are facing dental problems and other dental injuries in which data has been gathered from 423 individuals by conducting interviews. The gathered data is investigated with the help of particle-memetic multivariable logistic regression analysis method which examines the patient income, dental surgical details, injuries and other factors relationship has been investigated. From the analyzed data, how the patients are treated by doctors examined for improving the relationship between patient and doctor in public dental health aspects.