IJSEA Volume 8 Issue 7

Making the Appointment at OPD by Using Clustering Algorithm

Than Win , Ei Ei Phyo
10.7753/IJSEA0807.1011
keywords : data mining, clustering, k-means clustering, initial centroid, Euclidean distance

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Life is becoming too busy to get medical check and treatment in person. The main idea is to provide ease and comfort to patients while taking appointment from doctors and it also resolves the problems that the patients has to face while making an appointment. Enhancing patient care management is one of the aims of healthcare industry to improve the healthcare system worldwide. Making Appointment at OPD System is an important component of scheduling and managing appointments. This paper advances with the facilities that eliminate the chaos of traditional appointment service and offers the appointment booking, to view doctors list, to cancel and update appointments with a user form to manage all the sections. It provides advanced functionality the process that easy to access personal hospital services that help organizations to stay connected with their customers, the most importantly patients, the result in significant time and time savings. In this paper, K-Means clustering algorithm is implemented to analyze the OPD system.
@artical{t872019ijsea08071011,
Title = "Making the Appointment at OPD by Using Clustering Algorithm",
Journal ="International Journal of Science and Engineering Applications (IJSEA)",
Volume = "8",
Issue ="7",
Pages ="231 - 235",
Year = "2019",
Authors ="Than Win , Ei Ei Phyo"}