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

• Published in: Journal of medical systems Vol. 42; no. 10; pp. 183 - 7
• Main Authors: Vellappally, Sajith, Al Kheraif, Abdulaziz A., Anil, Sukumaran, Assery, Mansour K., Kumar, K. Aswini, Divakar, Darshan Devang
• Format: Journal Article
• Language: English
• Published: New York Springer US 01-10-2018; Springer Nature B.V
• Subjects: Adults; Advancements in Internet of Medical Things for Healthcare System; Data analysis; Dental health; Health Informatics; Health Sciences; Injuries; Injury analysis; Medical personnel; Medicine; Medicine & Public Health; Patients; Physician patient relationships; Physicians; Regression analysis; Statistics for Life Sciences; Surgery; Systems-Level Quality Improvement; Dental surgical details; Patient and doctor relationship; Public dental health aspects; Particle-memetic multivariable logistic regression; Dental problem
• ISSN: 0148-5598; 1573-689X
• DOI: 10.1007/s10916-018-1037-z

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.