Paper Info
Title
Analyzing Relationship between Patient and Doctor in Public Dental Health using Particle Memetic Multivariable Logistic Regression Analysis Approach (MLRA2).
Abstract
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.
Year
DOI
Venue
2018
10.1007/s10916-018-1037-z
J. Medical Systems
Keywords
Field
DocType
Dental problem,Dental surgical details,Particle-memetic multivariable logistic regression,Patient and doctor relationship,Public dental health aspects
Critical factors,Data mining,Multivariable calculus,Family medicine,Medicine,Logistic regression
Journal
Volume
Issue
ISSN
42
10
0148-5598
Citations 
PageRank 
References 
0
0.34
2
Authors
6
Name
Order
Citations
PageRank
Sajith Vellappally100.34
Abdulaziz A. Al Kheraif211.35
Sukumaran Anil300.34
Mansour K. Assery400.34
K. Aswini Kumar500.34
Darshan Devang Divakar600.68